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README: model card + training datasets (base + 336 >=44k) + source link

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+ ---
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+ license: apache-2.0
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+ library_name: neucodec
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+ pipeline_tag: audio-to-audio
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+ tags:
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+ - neural-audio-codec
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+ - neucodec
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+ - 44100hz
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+ - decoder-finetune
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+ - speech
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+ ---
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+
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+ # NeuCodec 44.1 kHz β€” decoder finetune (depth 20)
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+
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+ A **44.1 kHz decoder finetune** of [`neuphonic/neucodec`](https://huggingface.co/neuphonic/neucodec).
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+ Only the **decoder** (Vocos backbone + ISTFT head, transformer **depth 20**) is trained to
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+ reconstruct **44.1 kHz** audio. The **16 kHz acoustic/semantic encoders and the ResidualFSQ
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+ codebook are frozen and completely unchanged** β€” the discrete codes are identical to base
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+ NeuCodec, so this model is a drop-in higher-fidelity decoder.
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+
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+ - **Sample rate:** 44 100 Hz Β· **hop:** 882 Β· **50 tokens/sec**
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+ - **Trainable:** decoder only (GAN: multi-period + spec discriminators; losses: multi-res mel + STFT + feature-matching + adversarial)
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+ - **Frozen:** w2v-BERT semantic encoder, acoustic `CodecEnc`, `fc_prior`/`fc_post_a`, FSQ codebook
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+
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+ ## πŸ”— Source code
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+
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+ Training pipeline, configs and RunPod automation:
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+ **https://github.com/Scicom-AI-Enterprise-Organization/neucodec-44k**
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+
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+ ## Files
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+
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+ | file | what |
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+ |---|---|
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+ | `pytorch_model.bin` | decoder weights for **inference** (load with `NeuCodec.from_pretrained`) |
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+ | `last.ckpt` | full PyTorch-Lightning checkpoint **with optimizer states + LR schedulers** for **resuming training** |
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+
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+ ## Training data
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+
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+ Diverse, predominantly high-sample-rate human speech (no synthetic TTS). The **scale-up group is
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+ SR-verified β‰₯ 44 kHz** (probed before inclusion); the base corpora are long-form conversational,
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+ expressive and anechoic speech. Two groups:
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+
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+ ### Base corpora (Malaysia-AI + expressive/anechoic speech)
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+
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+ | dataset | content |
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+ |---|---|
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+ | [`malaysia-ai/malaysian-podcast-youtube`](https://huggingface.co/datasets/malaysia-ai/malaysian-podcast-youtube) | Malay long-form conversational podcasts (~2,234 h) |
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+ | [`malaysia-ai/singaporean-podcast-youtube`](https://huggingface.co/datasets/malaysia-ai/singaporean-podcast-youtube) | Singaporean English podcasts (~1,255 h) |
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+ | [`malaysia-ai/Multilingual-TTS`](https://huggingface.co/datasets/malaysia-ai/Multilingual-TTS) | CommonVoice-sidon multilingual short clips |
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+ | [`malaysia-ai/malaysian-cartoons-youtube`](https://huggingface.co/datasets/malaysia-ai/malaysian-cartoons-youtube) | 48 kHz cartoon dialogue (subset) |
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+ | [`malaysia-ai/malaysian-movie-youtube`](https://huggingface.co/datasets/malaysia-ai/malaysian-movie-youtube) | 48 kHz Malay movie dialogue |
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+ | [`ylacombe/expresso`](https://huggingface.co/datasets/ylacombe/expresso) | 48 kHz expressive read speech |
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+ | [`nytopop/expresso-conversational`](https://huggingface.co/datasets/nytopop/expresso-conversational) | 48 kHz improvised dialogue |
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+ | [EARS](https://github.com/facebookresearch/ears_dataset) | 48 kHz anechoic fullband (emotional / conversational / reading) |
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+
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+ ### Scale-up: 336 verified β‰₯ 44 kHz datasets
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+
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+ To maximise acoustic diversity for the decoder (language-agnostic β€” the codebook is frozen),
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+ training is scaled with **336 additional datasets** (162 at 48 kHz, 174 at 44.1 kHz), mirrored as
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+ `<name>*audio.zip` in [`malaysia-ai/Multilingual-TTS`](https://huggingface.co/datasets/malaysia-ai/Multilingual-TTS)
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+ and SR-verified β‰₯ 44 kHz. Original sources:
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+
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+ <details>
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+ <summary>Full list of 336 β‰₯ 44 kHz source datasets</summary>
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+
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+ - [`1rsh/gujarati-f-openslr`](https://huggingface.co/datasets/1rsh/gujarati-f-openslr) β€” 48000 Hz
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+ - [`Aashish17405/audio-dataset`](https://huggingface.co/datasets/Aashish17405/audio-dataset) β€” 48000 Hz
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+ - [`Aashish17405/audio-dataset-300`](https://huggingface.co/datasets/Aashish17405/audio-dataset-300) β€” 48000 Hz
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+ - [`Aashish17405/audio-dataset-shuffled-300`](https://huggingface.co/datasets/Aashish17405/audio-dataset-shuffled-300) β€” 48000 Hz
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+ - [`Abdullah500/IndicTTS-Bengali`](https://huggingface.co/datasets/Abdullah500/IndicTTS-Bengali) β€” 48000 Hz
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+ - [`Abdullah500/IndicTTS_BengaliOLD`](https://huggingface.co/datasets/Abdullah500/IndicTTS_BengaliOLD) β€” 48000 Hz
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+ - [`adalat-ai/in22-legal`](https://huggingface.co/datasets/adalat-ai/in22-legal) β€” 48000 Hz
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+ - [`ahmadafaneh/common-voice-18-arabic`](https://huggingface.co/datasets/ahmadafaneh/common-voice-18-arabic) β€” 48000 Hz
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+ - [`AIDC-AI/CSEMOTIONS`](https://huggingface.co/datasets/AIDC-AI/CSEMOTIONS) β€” 48000 Hz
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+ - [`AJosh/audio-dataset`](https://huggingface.co/datasets/AJosh/audio-dataset) β€” 48000 Hz
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+ - [`alexantonov/chuvash_voice`](https://huggingface.co/datasets/alexantonov/chuvash_voice) β€” 48000 Hz
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+ - [`aliyzd95/common_voice_21_0_fa`](https://huggingface.co/datasets/aliyzd95/common_voice_21_0_fa) β€” 48000 Hz
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+ - [`aliyzd95/common_voice_22_0_fa`](https://huggingface.co/datasets/aliyzd95/common_voice_22_0_fa) β€” 48000 Hz
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+ - [`anian0707/hindi-tts-dataset`](https://huggingface.co/datasets/anian0707/hindi-tts-dataset) β€” 48000 Hz
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+ - [`atlithor/talromur3_with_prompts`](https://huggingface.co/datasets/atlithor/talromur3_with_prompts) β€” 48000 Hz
81
+ - [`atlithor/talromur3_without_emotions`](https://huggingface.co/datasets/atlithor/talromur3_without_emotions) β€” 48000 Hz
82
+ - [`bilguun/cv-mn-24.0`](https://huggingface.co/datasets/bilguun/cv-mn-24.0) β€” 48000 Hz
83
+ - [`bookbot/slr72_dataset`](https://huggingface.co/datasets/bookbot/slr72_dataset) β€” 48000 Hz
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+ - [`Chingkheinganba/IndicTTS_Manipuri`](https://huggingface.co/datasets/Chingkheinganba/IndicTTS_Manipuri) β€” 48000 Hz
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+ - [`chuuhtetnaing/myanmar-speech-dataset-openslr-80`](https://huggingface.co/datasets/chuuhtetnaing/myanmar-speech-dataset-openslr-80) β€” 48000 Hz
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+ - [`Cnam-LMSSC/vibravox_enhanced_by_EBEN`](https://huggingface.co/datasets/Cnam-LMSSC/vibravox_enhanced_by_EBEN) β€” 48000 Hz
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+ - [`CraneAILabs/waxal-lug-clean`](https://huggingface.co/datasets/CraneAILabs/waxal-lug-clean) β€” 48000 Hz
88
+ - [`datahiveai/arabic-multidialect-emotional-speech-demo`](https://huggingface.co/datasets/datahiveai/arabic-multidialect-emotional-speech-demo) β€” 48000 Hz
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+ - [`DatarrX/burmese-synthetic-speech-corpus`](https://huggingface.co/datasets/DatarrX/burmese-synthetic-speech-corpus) β€” 48000 Hz
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+ - [`DDD-Cambodia/khm-asr-cultural`](https://huggingface.co/datasets/DDD-Cambodia/khm-asr-cultural) β€” 48000 Hz
91
+ - [`deepdml/igbo-dict`](https://huggingface.co/datasets/deepdml/igbo-dict) β€” 48000 Hz
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+ - [`deepdml/igbo-dict-16khz`](https://huggingface.co/datasets/deepdml/igbo-dict-16khz) β€” 48000 Hz
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+ - [`deepdml/igbo-dict-expansion`](https://huggingface.co/datasets/deepdml/igbo-dict-expansion) β€” 48000 Hz
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+ - [`deepdml/igbo-dict-expansion-16khz`](https://huggingface.co/datasets/deepdml/igbo-dict-expansion-16khz) β€” 48000 Hz
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+ - [`deepdml/openslr-32-hq-SA-languages`](https://huggingface.co/datasets/deepdml/openslr-32-hq-SA-languages) β€” 48000 Hz
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+ - [`deepdml/openslr42-khmer-tts`](https://huggingface.co/datasets/deepdml/openslr42-khmer-tts) β€” 48000 Hz
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+ - [`deepdml/openslr65-tamil`](https://huggingface.co/datasets/deepdml/openslr65-tamil) β€” 48000 Hz
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+ - [`deepdml/openslr80-burmese`](https://huggingface.co/datasets/deepdml/openslr80-burmese) β€” 48000 Hz
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+ - [`doof-ferb/fpt_fosd`](https://huggingface.co/datasets/doof-ferb/fpt_fosd) β€” 48000 Hz
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+ - [`doof-ferb/infore1_25hours`](https://huggingface.co/datasets/doof-ferb/infore1_25hours) β€” 48000 Hz
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+ - [`espnet/ace-kising-segments`](https://huggingface.co/datasets/espnet/ace-kising-segments) β€” 48000 Hz
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+ - [`espnet/ace-opencpop-segments`](https://huggingface.co/datasets/espnet/ace-opencpop-segments) β€” 48000 Hz
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+ - [`FatimahEmadEldin/alsanaa-emirati-arabic-asr`](https://huggingface.co/datasets/FatimahEmadEldin/alsanaa-emirati-arabic-asr) β€” 48000 Hz
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+ - [`fluffypotatoes/f1-team-radio`](https://huggingface.co/datasets/fluffypotatoes/f1-team-radio) β€” 48000 Hz
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+ - [`fosters/lagodny-tsmok-iury-zhygamont-output_original`](https://huggingface.co/datasets/fosters/lagodny-tsmok-iury-zhygamont-output_original) β€” 48000 Hz
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+ - [`fosters/lagodny-tsmok-iury-zhygamont_all`](https://huggingface.co/datasets/fosters/lagodny-tsmok-iury-zhygamont_all) β€” 48000 Hz
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+ - [`gauravparajuli/slr43`](https://huggingface.co/datasets/gauravparajuli/slr43) β€” 48000 Hz
108
+ - [`ggfox00000/stt-summre-fr-test`](https://huggingface.co/datasets/ggfox00000/stt-summre-fr-test) β€” 48000 Hz
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+ - [`ggfox00000/stt-vibravox-fr-test`](https://huggingface.co/datasets/ggfox00000/stt-vibravox-fr-test) β€” 48000 Hz
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+ - [`hanamizuki-ai/genshin-voice-v3.3-mandarin`](https://huggingface.co/datasets/hanamizuki-ai/genshin-voice-v3.3-mandarin) β€” 48000 Hz
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+ - [`hanamizuki-ai/genshin-voice-v3.4-mandarin`](https://huggingface.co/datasets/hanamizuki-ai/genshin-voice-v3.4-mandarin) β€” 48000 Hz
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+ - [`hanamizuki-ai/genshin-voice-v3.5-mandarin`](https://huggingface.co/datasets/hanamizuki-ai/genshin-voice-v3.5-mandarin) β€” 48000 Hz
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+ - [`HeshamHaroon/arabic-msa-25k-saudi-male-tashkeel`](https://huggingface.co/datasets/HeshamHaroon/arabic-msa-25k-saudi-male-tashkeel) β€” 48000 Hz
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+ - [`HeshamHaroon/Dahee7`](https://huggingface.co/datasets/HeshamHaroon/Dahee7) β€” 48000 Hz
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+ - [`hezarai/common-voice-13-fa`](https://huggingface.co/datasets/hezarai/common-voice-13-fa) β€” 48000 Hz
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+ - [`hosein-m/french_homophone_asr`](https://huggingface.co/datasets/hosein-m/french_homophone_asr) β€” 48000 Hz
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+ - [`humyn-labs/Asian-High-Fidelity-ASR-Dataset`](https://huggingface.co/datasets/humyn-labs/Asian-High-Fidelity-ASR-Dataset) β€” 48000 Hz
118
+ - [`humyn-labs/LATAM-High-Fidelity-ASR`](https://huggingface.co/datasets/humyn-labs/LATAM-High-Fidelity-ASR) β€” 48000 Hz
119
+ - [`hypaai/Hypa-Speech-10k`](https://huggingface.co/datasets/hypaai/Hypa-Speech-10k) β€” 48000 Hz
120
+ - [`hypaai/Hypa_Fleurs`](https://huggingface.co/datasets/hypaai/Hypa_Fleurs) β€” 48000 Hz
121
+ - [`igidn/wuwa-voice-EN`](https://huggingface.co/datasets/igidn/wuwa-voice-EN) β€” 48000 Hz
122
+ - [`impriyanshu-garg00/IndicVoices-R_Hindi`](https://huggingface.co/datasets/impriyanshu-garg00/IndicVoices-R_Hindi) β€” 48000 Hz
123
+ - [`JacobLinCool/jl-speech`](https://huggingface.co/datasets/JacobLinCool/jl-speech) β€” 48000 Hz
124
+ - [`JeanKouss/ewe_bible_v2_tts`](https://huggingface.co/datasets/JeanKouss/ewe_bible_v2_tts) β€” 48000 Hz
125
+ - [`jspaulsen/vctk`](https://huggingface.co/datasets/jspaulsen/vctk) β€” 48000 Hz
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+ - [`juanjucm/OpenHQ-SpeechT-GL-EN`](https://huggingface.co/datasets/juanjucm/OpenHQ-SpeechT-GL-EN) β€” 48000 Hz
127
+ - [`jzsues/genshin-voice-zh`](https://huggingface.co/datasets/jzsues/genshin-voice-zh) β€” 48000 Hz
128
+ - [`Kishor798/text_to_speech_dataset`](https://huggingface.co/datasets/Kishor798/text_to_speech_dataset) β€” 48000 Hz
129
+ - [`Kppwdfgu1/Hypa-Speech-10k`](https://huggingface.co/datasets/Kppwdfgu1/Hypa-Speech-10k) β€” 48000 Hz
130
+ - [`KrorngAI/fleurs_openslr42_mpwt`](https://huggingface.co/datasets/KrorngAI/fleurs_openslr42_mpwt) β€” 48000 Hz
131
+ - [`Kukedlc/openslr61-es-ar-full`](https://huggingface.co/datasets/Kukedlc/openslr61-es-ar-full) β€” 48000 Hz
132
+ - [`leduckhai/MultiMed`](https://huggingface.co/datasets/leduckhai/MultiMed) β€” 48000 Hz
133
+ - [`leduckhai/MultiMed-ST`](https://huggingface.co/datasets/leduckhai/MultiMed-ST) β€” 48000 Hz
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+ - [`LeVy4/speech-to-text`](https://huggingface.co/datasets/LeVy4/speech-to-text) β€” 48000 Hz
135
+ - [`lilgoose777/nepali_speech_english_translation_shuffle_dataset`](https://huggingface.co/datasets/lilgoose777/nepali_speech_english_translation_shuffle_dataset) β€” 48000 Hz
136
+ - [`Lindarychwalski/pony-speech`](https://huggingface.co/datasets/Lindarychwalski/pony-speech) β€” 48000 Hz
137
+ - [`longhim99/khm-asr-cultural`](https://huggingface.co/datasets/longhim99/khm-asr-cultural) β€” 48000 Hz
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+ - [`lyhourt-FSA/khm-asr-cultural`](https://huggingface.co/datasets/lyhourt-FSA/khm-asr-cultural) β€” 48000 Hz
139
+ - [`maikezu/dowis`](https://huggingface.co/datasets/maikezu/dowis) β€” 48000 Hz
140
+ - [`manassehzw/sna-manasseh-150-raw`](https://huggingface.co/datasets/manassehzw/sna-manasseh-150-raw) β€” 48000 Hz
141
+ - [`masuidrive/cv-corpus-17.0-zh-TW-client_id-grouped`](https://huggingface.co/datasets/masuidrive/cv-corpus-17.0-zh-TW-client_id-grouped) β€” 48000 Hz
142
+ - [`MatrixStudio/TTS-CCabNavMSC`](https://huggingface.co/datasets/MatrixStudio/TTS-CCabNavMSC) β€” 48000 Hz
143
+ - [`MatrixStudio/TTS-CFCabNavSC`](https://huggingface.co/datasets/MatrixStudio/TTS-CFCabNavSC) β€” 48000 Hz
144
+ - [`MatrixStudio/TTS-SCCusSerFSC`](https://huggingface.co/datasets/MatrixStudio/TTS-SCCusSerFSC) β€” 48000 Hz
145
+ - [`MatrixStudio/TTS-SCDuFSC`](https://huggingface.co/datasets/MatrixStudio/TTS-SCDuFSC) β€” 48000 Hz
146
+ - [`Max5ive/openslr-32-hq-SA-languages-Sesotho`](https://huggingface.co/datasets/Max5ive/openslr-32-hq-SA-languages-Sesotho) β€” 48000 Hz
147
+ - [`mazesmazes/jenny-mimi`](https://huggingface.co/datasets/mazesmazes/jenny-mimi) β€” 48000 Hz
148
+ - [`MikCil/f1-team-radio`](https://huggingface.co/datasets/MikCil/f1-team-radio) β€” 48000 Hz
149
+ - [`mohamedmou/DATASET-darija-ASR-clean`](https://huggingface.co/datasets/mohamedmou/DATASET-darija-ASR-clean) β€” 48000 Hz
150
+ - [`MohamedRashad/arabic-english-code-switching`](https://huggingface.co/datasets/MohamedRashad/arabic-english-code-switching) β€” 48000 Hz
151
+ - [`MohamedRashad/common-voice-18-arabic`](https://huggingface.co/datasets/MohamedRashad/common-voice-18-arabic) β€” 48000 Hz
152
+ - [`ngia/ASR_pulaar`](https://huggingface.co/datasets/ngia/ASR_pulaar) β€” 48000 Hz
153
+ - [`ntaquan0125/steinsgate-voice`](https://huggingface.co/datasets/ntaquan0125/steinsgate-voice) β€” 48000 Hz
154
+ - [`ntt123/VietBibleVox-aligned`](https://huggingface.co/datasets/ntt123/VietBibleVox-aligned) β€” 48000 Hz
155
+ - [`OmarAhmedSobhy/egyption-with-emotion-dataset`](https://huggingface.co/datasets/OmarAhmedSobhy/egyption-with-emotion-dataset) β€” 48000 Hz
156
+ - [`OmarAhmedSobhy/tts-egyption-dataset`](https://huggingface.co/datasets/OmarAhmedSobhy/tts-egyption-dataset) β€” 48000 Hz
157
+ - [`omersaidd/tts_ahmet_deniz_tur`](https://huggingface.co/datasets/omersaidd/tts_ahmet_deniz_tur) β€” 48000 Hz
158
+ - [`rahafvii/EGY2K`](https://huggingface.co/datasets/rahafvii/EGY2K) β€” 48000 Hz
159
+ - [`ranbirchabungbam/meiteimayek-audio-parallel-corpus`](https://huggingface.co/datasets/ranbirchabungbam/meiteimayek-audio-parallel-corpus) β€” 48000 Hz
160
+ - [`reapzor/neurologySTT`](https://huggingface.co/datasets/reapzor/neurologySTT) β€” 48000 Hz
161
+ - [`RikkaBotan/nyan-jenny-format`](https://huggingface.co/datasets/RikkaBotan/nyan-jenny-format) β€” 48000 Hz
162
+ - [`RobotsMali/transcription-scorer`](https://huggingface.co/datasets/RobotsMali/transcription-scorer) β€” 48000 Hz
163
+ - [`SachinTelecmi/tts-hindi-stts2`](https://huggingface.co/datasets/SachinTelecmi/tts-hindi-stts2) β€” 48000 Hz
164
+ - [`sartifyllc/Sukuma-Voices`](https://huggingface.co/datasets/sartifyllc/Sukuma-Voices) β€” 48000 Hz
165
+ - [`scriptaudio/f1-team-radio`](https://huggingface.co/datasets/scriptaudio/f1-team-radio) β€” 48000 Hz
166
+ - [`sdcsdccdsd/CSEMOTIONS`](https://huggingface.co/datasets/sdcsdccdsd/CSEMOTIONS) β€” 48000 Hz
167
+ - [`shoron08/irodori-refs-10k`](https://huggingface.co/datasets/shoron08/irodori-refs-10k) β€” 48000 Hz
168
+ - [`shreeshacharya/Dhravani`](https://huggingface.co/datasets/shreeshacharya/Dhravani) β€” 48000 Hz
169
+ - [`siddiqiya/ar-eg-dataset`](https://huggingface.co/datasets/siddiqiya/ar-eg-dataset) β€” 48000 Hz
170
+ - [`slprl/StressTest`](https://huggingface.co/datasets/slprl/StressTest) β€” 48000 Hz
171
+ - [`smcproject/MSC`](https://huggingface.co/datasets/smcproject/MSC) β€” 48000 Hz
172
+ - [`somu9/iisc_mono_hindi_female`](https://huggingface.co/datasets/somu9/iisc_mono_hindi_female) β€” 48000 Hz
173
+ - [`somu9/iitm_mono_hindi_female`](https://huggingface.co/datasets/somu9/iitm_mono_hindi_female) β€” 48000 Hz
174
+ - [`speech-uk/opentts-kateryna`](https://huggingface.co/datasets/speech-uk/opentts-kateryna) β€” 48000 Hz
175
+ - [`speech-uk/opentts-oleksa`](https://huggingface.co/datasets/speech-uk/opentts-oleksa) β€” 48000 Hz
176
+ - [`speech-uk/opentts-tetiana`](https://huggingface.co/datasets/speech-uk/opentts-tetiana) β€” 48000 Hz
177
+ - [`speech-uk/tts-crh-abibullah`](https://huggingface.co/datasets/speech-uk/tts-crh-abibullah) β€” 48000 Hz
178
+ - [`speech-uk/tts-crh-arslan`](https://huggingface.co/datasets/speech-uk/tts-crh-arslan) β€” 48000 Hz
179
+ - [`speech-uk/tts-crh-sevil`](https://huggingface.co/datasets/speech-uk/tts-crh-sevil) β€” 48000 Hz
180
+ - [`SPRINGLab/IndicTTS-Hindi`](https://huggingface.co/datasets/SPRINGLab/IndicTTS-Hindi) β€” 48000 Hz
181
+ - [`SPRINGLab/IndicTTS_Assamese`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Assamese) β€” 48000 Hz
182
+ - [`SPRINGLab/IndicTTS_Bengali`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Bengali) β€” 48000 Hz
183
+ - [`SPRINGLab/IndicTTS_Kannada`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Kannada) β€” 48000 Hz
184
+ - [`SPRINGLab/IndicTTS_Malayalam`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Malayalam) β€” 48000 Hz
185
+ - [`SPRINGLab/IndicTTS_Manipuri`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Manipuri) β€” 48000 Hz
186
+ - [`SPRINGLab/IndicTTS_Marathi`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Marathi) β€” 48000 Hz
187
+ - [`SPRINGLab/IndicTTS_Odia`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Odia) β€” 48000 Hz
188
+ - [`SPRINGLab/IndicTTS_Punjabi`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Punjabi) β€” 48000 Hz
189
+ - [`SPRINGLab/IndicTTS_Rajasthani`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Rajasthani) β€” 48000 Hz
190
+ - [`SPRINGLab/IndicTTS_Tamil`](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Tamil) β€” 48000 Hz
191
+ - [`SPRINGLab/IndicVoices-R_Hindi`](https://huggingface.co/datasets/SPRINGLab/IndicVoices-R_Hindi) β€” 48000 Hz
192
+ - [`srezas/farsi_voice_dataset`](https://huggingface.co/datasets/srezas/farsi_voice_dataset) β€” 48000 Hz
193
+ - [`SynDataLab-JA-Refs/Irodori-Ja-Spk1-10k`](https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk1-10k) β€” 48000 Hz
194
+ - [`SynDataLab-JA-Refs/Irodori-Ja-Spk2-10k`](https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk2-10k) β€” 48000 Hz
195
+ - [`SynDataLab-JA-Refs/Irodori-Ja-Spk3-10k`](https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk3-10k) β€” 48000 Hz
196
+ - [`SynDataLab-JA-Refs/Irodori-Ja-Spk4-10k`](https://huggingface.co/datasets/SynDataLab-JA-Refs/Irodori-Ja-Spk4-10k) β€” 48000 Hz
197
+ - [`SynDataLab-JA-Refs/irodori-refs-10k`](https://huggingface.co/datasets/SynDataLab-JA-Refs/irodori-refs-10k) β€” 48000 Hz
198
+ - [`SynDataLab-JA-Refs/irodori-refs-10k-v2`](https://huggingface.co/datasets/SynDataLab-JA-Refs/irodori-refs-10k-v2) β€” 48000 Hz
199
+ - [`SynDataLab-JA-Refs/irodori-tts-refs-12k`](https://huggingface.co/datasets/SynDataLab-JA-Refs/irodori-tts-refs-12k) β€” 48000 Hz
200
+ - [`SynDataLab-JA/Irodori-Ja-500M-v2-vs-600M-v3-compare-20`](https://huggingface.co/datasets/SynDataLab-JA/Irodori-Ja-500M-v2-vs-600M-v3-compare-20) β€” 48000 Hz
201
+ - [`synthbot/pony-singing`](https://huggingface.co/datasets/synthbot/pony-singing) β€” 48000 Hz
202
+ - [`synthbot/pony-speech`](https://huggingface.co/datasets/synthbot/pony-speech) β€” 48000 Hz
203
+ - [`Tamazight-NLP/TOSD`](https://huggingface.co/datasets/Tamazight-NLP/TOSD) β€” 48000 Hz
204
+ - [`thennal/GMaSC`](https://huggingface.co/datasets/thennal/GMaSC) β€” 48000 Hz
205
+ - [`thennal/indic_tts_ml`](https://huggingface.co/datasets/thennal/indic_tts_ml) β€” 48000 Hz
206
+ - [`thennal/msc`](https://huggingface.co/datasets/thennal/msc) β€” 48000 Hz
207
+ - [`Trelis/multimed-hard`](https://huggingface.co/datasets/Trelis/multimed-hard) β€” 48000 Hz
208
+ - [`trysem/indicvoices_r-ML`](https://huggingface.co/datasets/trysem/indicvoices_r-ML) β€” 48000 Hz
209
+ - [`ttthe/MultiMed`](https://huggingface.co/datasets/ttthe/MultiMed) β€” 48000 Hz
210
+ - [`tunis-ai/arabic_speech_corpus`](https://huggingface.co/datasets/tunis-ai/arabic_speech_corpus) β€” 48000 Hz
211
+ - [`vinaybabu/voice_tech_for_all_challenge_samples_output`](https://huggingface.co/datasets/vinaybabu/voice_tech_for_all_challenge_samples_output) β€” 48000 Hz
212
+ - [`voice-biomarkers/openslr-32-hq-SA-languages-Afrikaans`](https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-Afrikaans) β€” 48000 Hz
213
+ - [`voice-biomarkers/openslr-32-hq-SA-languages-isiXhosa`](https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-isiXhosa) β€” 48000 Hz
214
+ - [`voice-biomarkers/openslr-32-hq-SA-languages-Sesotho`](https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-Sesotho) β€” 48000 Hz
215
+ - [`voice-biomarkers/openslr-32-hq-SA-languages-Setswana`](https://huggingface.co/datasets/voice-biomarkers/openslr-32-hq-SA-languages-Setswana) β€” 48000 Hz
216
+ - [`vrclc/openslr63`](https://huggingface.co/datasets/vrclc/openslr63) β€” 48000 Hz
217
+ - [`wanasash/enwaucymraeg`](https://huggingface.co/datasets/wanasash/enwaucymraeg) β€” 48000 Hz
218
+ - [`worldboss/ewe_bible_v2_tts`](https://huggingface.co/datasets/worldboss/ewe_bible_v2_tts) β€” 48000 Hz
219
+ - [`worldboss/twi_bible_v2_tts`](https://huggingface.co/datasets/worldboss/twi_bible_v2_tts) β€” 48000 Hz
220
+ - [`yasalma/tat_hackathon_asr`](https://huggingface.co/datasets/yasalma/tat_hackathon_asr) β€” 48000 Hz
221
+ - [`Yehor/qirimtatar-tts`](https://huggingface.co/datasets/Yehor/qirimtatar-tts) β€” 48000 Hz
222
+ - [`ylacombe/english_dialects`](https://huggingface.co/datasets/ylacombe/english_dialects) β€” 48000 Hz
223
+ - [`ylacombe/google-chilean-spanish`](https://huggingface.co/datasets/ylacombe/google-chilean-spanish) β€” 48000 Hz
224
+ - [`ylacombe/google-tamil`](https://huggingface.co/datasets/ylacombe/google-tamil) β€” 48000 Hz
225
+ - [`ymoslem/CoVoST2-EN-AR`](https://huggingface.co/datasets/ymoslem/CoVoST2-EN-AR) β€” 48000 Hz
226
+ - [`ymoslem/Living-Audio-Irish`](https://huggingface.co/datasets/ymoslem/Living-Audio-Irish) β€” 48000 Hz
227
+ - [`zinc75/Vibravox_dummy`](https://huggingface.co/datasets/zinc75/Vibravox_dummy) β€” 48000 Hz
228
+ - [`8Opt/clotho-dev-sample`](https://huggingface.co/datasets/8Opt/clotho-dev-sample) β€” 44100 Hz
229
+ - [`aangelakis/STOMA`](https://huggingface.co/datasets/aangelakis/STOMA) β€” 44100 Hz
230
+ - [`adiren7/darija_speech_to_text`](https://huggingface.co/datasets/adiren7/darija_speech_to_text) β€” 44100 Hz
231
+ - [`ahmed220v/SCC22`](https://huggingface.co/datasets/ahmed220v/SCC22) β€” 44100 Hz
232
+ - [`AigizK/bashkort_tts_dataset`](https://huggingface.co/datasets/AigizK/bashkort_tts_dataset) β€” 44100 Hz
233
+ - [`aipanjab/speech-mendeley-pa`](https://huggingface.co/datasets/aipanjab/speech-mendeley-pa) β€” 44100 Hz
234
+ - [`ALEKAS/ToneBooksPlus-Grigorii`](https://huggingface.co/datasets/ALEKAS/ToneBooksPlus-Grigorii) β€” 44100 Hz
235
+ - [`alimetin/turkish-parliament-speech`](https://huggingface.co/datasets/alimetin/turkish-parliament-speech) β€” 44100 Hz
236
+ - [`amine-khelif/DuBLaB-en-fr-0.7`](https://huggingface.co/datasets/amine-khelif/DuBLaB-en-fr-0.7) β€” 44100 Hz
237
+ - [`amine-khelif/DuBLaB-en-fr-0.7-f-0.2`](https://huggingface.co/datasets/amine-khelif/DuBLaB-en-fr-0.7-f-0.2) β€” 44100 Hz
238
+ - [`amine-khelif/DuBLaB-en-fr-0.7-f-0.5`](https://huggingface.co/datasets/amine-khelif/DuBLaB-en-fr-0.7-f-0.5) β€” 44100 Hz
239
+ - [`amine-khelif/DuBLaB-en-fr-0.8`](https://huggingface.co/datasets/amine-khelif/DuBLaB-en-fr-0.8) β€” 44100 Hz
240
+ - [`Anilosan15/YouTube_Video_Transkriptleri_TR`](https://huggingface.co/datasets/Anilosan15/YouTube_Video_Transkriptleri_TR) β€” 44100 Hz
241
+ - [`AnonXx/Pidgin_ASR_Dataset_Combined`](https://huggingface.co/datasets/AnonXx/Pidgin_ASR_Dataset_Combined) β€” 44100 Hz
242
+ - [`anzorq/kbd_speech`](https://huggingface.co/datasets/anzorq/kbd_speech) β€” 44100 Hz
243
+ - [`archivartaunik/Jevanhielle_Zyhamont_outChecked`](https://huggingface.co/datasets/archivartaunik/Jevanhielle_Zyhamont_outChecked) β€” 44100 Hz
244
+ - [`archivartaunik/output4Checked`](https://huggingface.co/datasets/archivartaunik/output4Checked) β€” 44100 Hz
245
+ - [`Bateesa/rw-tts-dataset`](https://huggingface.co/datasets/Bateesa/rw-tts-dataset) β€” 44100 Hz
246
+ - [`beratcmn/jessica-076`](https://huggingface.co/datasets/beratcmn/jessica-076) β€” 44100 Hz
247
+ - [`bezzam/coraal`](https://huggingface.co/datasets/bezzam/coraal) β€” 44100 Hz
248
+ - [`Bretagne/Lingua_Libre_br`](https://huggingface.co/datasets/Bretagne/Lingua_Libre_br) β€” 44100 Hz
249
+ - [`BrunoHays/Bangor-Miami-Spanish-English-Corpus`](https://huggingface.co/datasets/BrunoHays/Bangor-Miami-Spanish-English-Corpus) β€” 44100 Hz
250
+ - [`cagataydev/vlm-voice-audio`](https://huggingface.co/datasets/cagataydev/vlm-voice-audio) β€” 44100 Hz
251
+ - [`CentificAIResearch/DialectalSpeech-ICL`](https://huggingface.co/datasets/CentificAIResearch/DialectalSpeech-ICL) β€” 44100 Hz
252
+ - [`changelinglab/speechaccentarchive-pr`](https://huggingface.co/datasets/changelinglab/speechaccentarchive-pr) β€” 44100 Hz
253
+ - [`chris-t-jansen/erasmian_greek_nt`](https://huggingface.co/datasets/chris-t-jansen/erasmian_greek_nt) β€” 44100 Hz
254
+ - [`Codyfederer/fttrtest`](https://huggingface.co/datasets/Codyfederer/fttrtest) β€” 44100 Hz
255
+ - [`Codyfederer/test3434234`](https://huggingface.co/datasets/Codyfederer/test3434234) β€” 44100 Hz
256
+ - [`Codyfederer/tretret34543`](https://huggingface.co/datasets/Codyfederer/tretret34543) β€” 44100 Hz
257
+ - [`CoRal-project/coral-tts`](https://huggingface.co/datasets/CoRal-project/coral-tts) β€” 44100 Hz
258
+ - [`corti/med-term`](https://huggingface.co/datasets/corti/med-term) β€” 44100 Hz
259
+ - [`ctaguchi/killkan`](https://huggingface.co/datasets/ctaguchi/killkan) β€” 44100 Hz
260
+ - [`czyzi0/pwr-azon-speech-dataset`](https://huggingface.co/datasets/czyzi0/pwr-azon-speech-dataset) β€” 44100 Hz
261
+ - [`czyzi0/the-mc-speech-dataset`](https://huggingface.co/datasets/czyzi0/the-mc-speech-dataset) β€” 44100 Hz
262
+ - [`D00Movenok/russian-glados-portal2`](https://huggingface.co/datasets/D00Movenok/russian-glados-portal2) β€” 44100 Hz
263
+ - [`daanbrugmans/ovb-huissen-1`](https://huggingface.co/datasets/daanbrugmans/ovb-huissen-1) β€” 44100 Hz
264
+ - [`data-lab-voice/echo-tts-en-benchmarks-v1`](https://huggingface.co/datasets/data-lab-voice/echo-tts-en-benchmarks-v1) β€” 44100 Hz
265
+ - [`DataStudio/Vietnamese_ASR_TestingData_Old`](https://huggingface.co/datasets/DataStudio/Vietnamese_ASR_TestingData_Old) β€” 44100 Hz
266
+ - [`EMINES/Tamazight-Speech-to-Arabic-Text`](https://huggingface.co/datasets/EMINES/Tamazight-Speech-to-Arabic-Text) β€” 44100 Hz
267
+ - [`fablevi/one_voice_FACEBOOK_PARQUET`](https://huggingface.co/datasets/fablevi/one_voice_FACEBOOK_PARQUET) β€” 44100 Hz
268
+ - [`farbodbij/persian-words`](https://huggingface.co/datasets/farbodbij/persian-words) β€” 44100 Hz
269
+ - [`fiifinketia/twi-trigrams-speech-text-parallel`](https://huggingface.co/datasets/fiifinketia/twi-trigrams-speech-text-parallel) β€” 44100 Hz
270
+ - [`fosters/ales-krautsevich-karotkaia-gistoryia-belarusi-uladzimir-lisouski-output_original`](https://huggingface.co/datasets/fosters/ales-krautsevich-karotkaia-gistoryia-belarusi-uladzimir-lisouski-output_original) β€” 44100 Hz
271
+ - [`fosters/ales-krautsevich-karotkaia-gistoryia-belarusi-uladzimir-lisouski_all`](https://huggingface.co/datasets/fosters/ales-krautsevich-karotkaia-gistoryia-belarusi-uladzimir-lisouski_all) β€” 44100 Hz
272
+ - [`fosters/ales_razanau_all`](https://huggingface.co/datasets/fosters/ales_razanau_all) β€” 44100 Hz
273
+ - [`fosters/ales_razanau_output_original`](https://huggingface.co/datasets/fosters/ales_razanau_output_original) β€” 44100 Hz
274
+ - [`fosters/ales_zhuk_praklytaya_lyubow_all`](https://huggingface.co/datasets/fosters/ales_zhuk_praklytaya_lyubow_all) β€” 44100 Hz
275
+ - [`fosters/ales_zhuk_praklytaya_lyubow_output_original`](https://huggingface.co/datasets/fosters/ales_zhuk_praklytaya_lyubow_output_original) β€” 44100 Hz
276
+ - [`fosters/anatol_vyartsinski_pesnya_pra_hleb_all`](https://huggingface.co/datasets/fosters/anatol_vyartsinski_pesnya_pra_hleb_all) β€” 44100 Hz
277
+ - [`fosters/anatol_vyartsinski_pesnya_pra_hleb_output_original`](https://huggingface.co/datasets/fosters/anatol_vyartsinski_pesnya_pra_hleb_output_original) β€” 44100 Hz
278
+ - [`fosters/andre_marua_pakaranne_zolatam_all`](https://huggingface.co/datasets/fosters/andre_marua_pakaranne_zolatam_all) β€” 44100 Hz
279
+ - [`fosters/andre_marua_pakaranne_zolatam_output_original`](https://huggingface.co/datasets/fosters/andre_marua_pakaranne_zolatam_output_original) β€” 44100 Hz
280
+ - [`fosters/Antuan_de_Sent-Ekziupiery_Planieta_ludziei_all`](https://huggingface.co/datasets/fosters/Antuan_de_Sent-Ekziupiery_Planieta_ludziei_all) β€” 44100 Hz
281
+ - [`fosters/Antuan_de_Sent-Ekziupiery_Planieta_ludziei_output_original`](https://huggingface.co/datasets/fosters/Antuan_de_Sent-Ekziupiery_Planieta_ludziei_output_original) β€” 44100 Hz
282
+ - [`fosters/astryd_lindgren_braty_lvinae_sertsa_all`](https://huggingface.co/datasets/fosters/astryd_lindgren_braty_lvinae_sertsa_all) β€” 44100 Hz
283
+ - [`fosters/astryd_lindgren_braty_lvinae_sertsa_output_original`](https://huggingface.co/datasets/fosters/astryd_lindgren_braty_lvinae_sertsa_output_original) β€” 44100 Hz
284
+ - [`fosters/bely_klyck_all`](https://huggingface.co/datasets/fosters/bely_klyck_all) β€” 44100 Hz
285
+ - [`fosters/dzhozef_redzyard_kipling_all`](https://huggingface.co/datasets/fosters/dzhozef_redzyard_kipling_all) β€” 44100 Hz
286
+ - [`fosters/dzhozef_redzyard_kipling_output_original`](https://huggingface.co/datasets/fosters/dzhozef_redzyard_kipling_output_original) β€” 44100 Hz
287
+ - [`fosters/dzintra_shultse_robertsik_all`](https://huggingface.co/datasets/fosters/dzintra_shultse_robertsik_all) β€” 44100 Hz
288
+ - [`fosters/dzintra_shultse_robertsik_output_original`](https://huggingface.co/datasets/fosters/dzintra_shultse_robertsik_output_original) β€” 44100 Hz
289
+ - [`fosters/ernest_heminguei_stary_chalavek_i_mora_all`](https://huggingface.co/datasets/fosters/ernest_heminguei_stary_chalavek_i_mora_all) β€” 44100 Hz
290
+ - [`fosters/ernest_heminguei_stary_chalavek_i_mora_output_original`](https://huggingface.co/datasets/fosters/ernest_heminguei_stary_chalavek_i_mora_output_original) β€” 44100 Hz
291
+ - [`fosters/eryh_maryya_remark_all`](https://huggingface.co/datasets/fosters/eryh_maryya_remark_all) β€” 44100 Hz
292
+ - [`fosters/eryh_maryya_remark_output_original`](https://huggingface.co/datasets/fosters/eryh_maryya_remark_output_original) β€” 44100 Hz
293
+ - [`fosters/eryh_raspe_prygody_barona_myunhau_zena_all`](https://huggingface.co/datasets/fosters/eryh_raspe_prygody_barona_myunhau_zena_all) β€” 44100 Hz
294
+ - [`fosters/eryh_raspe_prygody_barona_myunhau_zena_output_original`](https://huggingface.co/datasets/fosters/eryh_raspe_prygody_barona_myunhau_zena_output_original) β€” 44100 Hz
295
+ - [`fosters/genadz_pashkou_all`](https://huggingface.co/datasets/fosters/genadz_pashkou_all) β€” 44100 Hz
296
+ - [`fosters/genadz_pashkou_output_original`](https://huggingface.co/datasets/fosters/genadz_pashkou_output_original) β€” 44100 Hz
297
+ - [`fosters/iagan_frydryh_shyler_kubak_all`](https://huggingface.co/datasets/fosters/iagan_frydryh_shyler_kubak_all) β€” 44100 Hz
298
+ - [`fosters/iagan_frydryh_shyler_kubak_output_original`](https://huggingface.co/datasets/fosters/iagan_frydryh_shyler_kubak_output_original) β€” 44100 Hz
299
+ - [`fosters/iakub-kolas-kazki-zhytstsia-output_original`](https://huggingface.co/datasets/fosters/iakub-kolas-kazki-zhytstsia-output_original) β€” 44100 Hz
300
+ - [`fosters/iakub-kolas-kazki-zhytstsia_all`](https://huggingface.co/datasets/fosters/iakub-kolas-kazki-zhytstsia_all) β€” 44100 Hz
301
+ - [`fosters/ivan-melezh-podykh-navalnitsy-valer-budzevich-output_original`](https://huggingface.co/datasets/fosters/ivan-melezh-podykh-navalnitsy-valer-budzevich-output_original) β€” 44100 Hz
302
+ - [`fosters/ivan-melezh-podykh-navalnitsy-valer-budzevich_all`](https://huggingface.co/datasets/fosters/ivan-melezh-podykh-navalnitsy-valer-budzevich_all) β€” 44100 Hz
303
+ - [`fosters/ivan-melezh-zavei-snezhan-valer-budzevich-output_original`](https://huggingface.co/datasets/fosters/ivan-melezh-zavei-snezhan-valer-budzevich-output_original) β€” 44100 Hz
304
+ - [`fosters/ivan-melezh-zavei-snezhan-valer-budzevich_all`](https://huggingface.co/datasets/fosters/ivan-melezh-zavei-snezhan-valer-budzevich_all) β€” 44100 Hz
305
+ - [`fosters/ivan-navumenka-zhul-vern-output_original`](https://huggingface.co/datasets/fosters/ivan-navumenka-zhul-vern-output_original) β€” 44100 Hz
306
+ - [`fosters/ivan-navumenka-zhul-vern_all`](https://huggingface.co/datasets/fosters/ivan-navumenka-zhul-vern_all) β€” 44100 Hz
307
+ - [`fosters/ivan-ptashnikau-lvy-output_original`](https://huggingface.co/datasets/fosters/ivan-ptashnikau-lvy-output_original) β€” 44100 Hz
308
+ - [`fosters/ivan-ptashnikau-lvy_all`](https://huggingface.co/datasets/fosters/ivan-ptashnikau-lvy_all) β€” 44100 Hz
309
+ - [`fosters/ivan_navumenka_sasna_pry_daroze_all`](https://huggingface.co/datasets/fosters/ivan_navumenka_sasna_pry_daroze_all) β€” 44100 Hz
310
+ - [`fosters/ivan_navumenka_sasna_pry_daroze_output_original`](https://huggingface.co/datasets/fosters/ivan_navumenka_sasna_pry_daroze_output_original) β€” 44100 Hz
311
+ - [`fosters/ivan_ptashnikau_all`](https://huggingface.co/datasets/fosters/ivan_ptashnikau_all) β€” 44100 Hz
312
+ - [`fosters/ivan_ptashnikau_output_original`](https://huggingface.co/datasets/fosters/ivan_ptashnikau_output_original) β€” 44100 Hz
313
+ - [`fosters/ivan_shamyakin_sertsa_na_daloni_all`](https://huggingface.co/datasets/fosters/ivan_shamyakin_sertsa_na_daloni_all) β€” 44100 Hz
314
+ - [`fosters/ivan_shamyakin_sertsa_na_daloni_output_original`](https://huggingface.co/datasets/fosters/ivan_shamyakin_sertsa_na_daloni_output_original) β€” 44100 Hz
315
+ - [`fosters/ivan_shamyakin_tryvozhnae_shchastse_all`](https://huggingface.co/datasets/fosters/ivan_shamyakin_tryvozhnae_shchastse_all) β€” 44100 Hz
316
+ - [`fosters/ivan_shamyakin_tryvozhnae_shchastse_output_original`](https://huggingface.co/datasets/fosters/ivan_shamyakin_tryvozhnae_shchastse_output_original) β€” 44100 Hz
317
+ - [`fosters/knihi-be-arlou_tancy_nad_horadam_all`](https://huggingface.co/datasets/fosters/knihi-be-arlou_tancy_nad_horadam_all) β€” 44100 Hz
318
+ - [`fosters/knihi-be-arlou_tancy_nad_horadam_output_original`](https://huggingface.co/datasets/fosters/knihi-be-arlou_tancy_nad_horadam_output_original) β€” 44100 Hz
319
+ - [`fosters/kuzma_chorny_makarkavyh_volka_all`](https://huggingface.co/datasets/fosters/kuzma_chorny_makarkavyh_volka_all) β€” 44100 Hz
320
+ - [`fosters/kuzma_chorny_makarkavyh_volka_output_original`](https://huggingface.co/datasets/fosters/kuzma_chorny_makarkavyh_volka_output_original) β€” 44100 Hz
321
+ - [`fosters/kuzma_chorny_poshuki_buduchyni_all`](https://huggingface.co/datasets/fosters/kuzma_chorny_poshuki_buduchyni_all) β€” 44100 Hz
322
+ - [`fosters/kuzma_chorny_poshuki_buduchyni_output_original`](https://huggingface.co/datasets/fosters/kuzma_chorny_poshuki_buduchyni_output_original) β€” 44100 Hz
323
+ - [`fosters/kuzma_chorny_zyamlya_all`](https://huggingface.co/datasets/fosters/kuzma_chorny_zyamlya_all) β€” 44100 Hz
324
+ - [`fosters/kuzma_chorny_zyamlya_output_original`](https://huggingface.co/datasets/fosters/kuzma_chorny_zyamlya_output_original) β€” 44100 Hz
325
+ - [`fosters/legendy-i-padanni_all`](https://huggingface.co/datasets/fosters/legendy-i-padanni_all) β€” 44100 Hz
326
+ - [`fosters/legendy-i-padanni_original`](https://huggingface.co/datasets/fosters/legendy-i-padanni_original) β€” 44100 Hz
327
+ - [`fosters/maksim_tank_all`](https://huggingface.co/datasets/fosters/maksim_tank_all) β€” 44100 Hz
328
+ - [`fosters/maksim_tank_output_original`](https://huggingface.co/datasets/fosters/maksim_tank_output_original) β€” 44100 Hz
329
+ - [`fosters/mar_yan_duksa_all`](https://huggingface.co/datasets/fosters/mar_yan_duksa_all) β€” 44100 Hz
330
+ - [`fosters/mar_yan_duksa_output_original`](https://huggingface.co/datasets/fosters/mar_yan_duksa_output_original) β€” 44100 Hz
331
+ - [`fosters/raisa_baravikova_vasmiradkou_i_all`](https://huggingface.co/datasets/fosters/raisa_baravikova_vasmiradkou_i_all) β€” 44100 Hz
332
+ - [`fosters/raisa_baravikova_vasmiradkou_i_output_original`](https://huggingface.co/datasets/fosters/raisa_baravikova_vasmiradkou_i_output_original) β€” 44100 Hz
333
+ - [`fosters/raisa_baravikova_vershy_pra_kahanne_all`](https://huggingface.co/datasets/fosters/raisa_baravikova_vershy_pra_kahanne_all) β€” 44100 Hz
334
+ - [`fosters/raisa_baravikova_vershy_pra_kahanne_output_original`](https://huggingface.co/datasets/fosters/raisa_baravikova_vershy_pra_kahanne_output_original) β€” 44100 Hz
335
+ - [`fosters/shata_rustaveli_vitsyaz_u_tygravai_shkury_all`](https://huggingface.co/datasets/fosters/shata_rustaveli_vitsyaz_u_tygravai_shkury_all) β€” 44100 Hz
336
+ - [`fosters/shata_rustaveli_vitsyaz_u_tygravai_shkury_output_original`](https://huggingface.co/datasets/fosters/shata_rustaveli_vitsyaz_u_tygravai_shkury_output_original) β€” 44100 Hz
337
+ - [`fosters/stefan_tsvei_g_nyabachnaya_kalektsyya_all`](https://huggingface.co/datasets/fosters/stefan_tsvei_g_nyabachnaya_kalektsyya_all) β€” 44100 Hz
338
+ - [`fosters/stefan_tsvei_g_nyabachnaya_kalektsyya_output_original`](https://huggingface.co/datasets/fosters/stefan_tsvei_g_nyabachnaya_kalektsyya_output_original) β€” 44100 Hz
339
+ - [`fosters/taras_shau_chenka_vershy_paemy_all`](https://huggingface.co/datasets/fosters/taras_shau_chenka_vershy_paemy_all) β€” 44100 Hz
340
+ - [`fosters/taras_shau_chenka_vershy_paemy_output_original`](https://huggingface.co/datasets/fosters/taras_shau_chenka_vershy_paemy_output_original) β€” 44100 Hz
341
+ - [`fosters/uilyam_folkner_pah_verbeny_all`](https://huggingface.co/datasets/fosters/uilyam_folkner_pah_verbeny_all) β€” 44100 Hz
342
+ - [`fosters/uilyam_folkner_pah_verbeny_output_original`](https://huggingface.co/datasets/fosters/uilyam_folkner_pah_verbeny_output_original) β€” 44100 Hz
343
+ - [`fosters/uladzimir-karatkevich-dzikae-paliavanne-karalia-stakha-aleg-garbuz-output_original`](https://huggingface.co/datasets/fosters/uladzimir-karatkevich-dzikae-paliavanne-karalia-stakha-aleg-garbuz-output_original) β€” 44100 Hz
344
+ - [`fosters/uladzimir-karatkevich-dzikae-paliavanne-karalia-stakha-aleg-garbuz_all`](https://huggingface.co/datasets/fosters/uladzimir-karatkevich-dzikae-paliavanne-karalia-stakha-aleg-garbuz_all) β€” 44100 Hz
345
+ - [`fosters/vasil_bykau_all`](https://huggingface.co/datasets/fosters/vasil_bykau_all) β€” 44100 Hz
346
+ - [`fosters/vasil_bykau_output_original`](https://huggingface.co/datasets/fosters/vasil_bykau_output_original) β€” 44100 Hz
347
+ - [`fosters/vasil_zue_nok_syaliba_all`](https://huggingface.co/datasets/fosters/vasil_zue_nok_syaliba_all) β€” 44100 Hz
348
+ - [`fosters/vasil_zue_nok_syaliba_output_original`](https://huggingface.co/datasets/fosters/vasil_zue_nok_syaliba_output_original) β€” 44100 Hz
349
+ - [`fosters/viktar_prau_dzin_all`](https://huggingface.co/datasets/fosters/viktar_prau_dzin_all) β€” 44100 Hz
350
+ - [`fosters/viktar_prau_dzin_output_original`](https://huggingface.co/datasets/fosters/viktar_prau_dzin_output_original) β€” 44100 Hz
351
+ - [`fosters/yakub_kolas_novaya_zyamlya_all`](https://huggingface.co/datasets/fosters/yakub_kolas_novaya_zyamlya_all) β€” 44100 Hz
352
+ - [`fosters/yakub_kolas_novaya_zyamlya_output_original`](https://huggingface.co/datasets/fosters/yakub_kolas_novaya_zyamlya_output_original) β€” 44100 Hz
353
+ - [`fosters/yanka_bryl_ptushki_i_gne_zdy_all`](https://huggingface.co/datasets/fosters/yanka_bryl_ptushki_i_gne_zdy_all) β€” 44100 Hz
354
+ - [`fosters/yanka_bryl_ptushki_i_gne_zdy_output_original`](https://huggingface.co/datasets/fosters/yanka_bryl_ptushki_i_gne_zdy_output_original) β€” 44100 Hz
355
+ - [`fosters/yanka_sipakou_odzium_all`](https://huggingface.co/datasets/fosters/yanka_sipakou_odzium_all) β€” 44100 Hz
356
+ - [`fosters/yanka_sipakou_odzium_output_original`](https://huggingface.co/datasets/fosters/yanka_sipakou_odzium_output_original) β€” 44100 Hz
357
+ - [`futureDoctor/turkic_tts_dataset`](https://huggingface.co/datasets/futureDoctor/turkic_tts_dataset) β€” 44100 Hz
358
+ - [`ghananlpcommunity/asante-twi-bible-speech-phonemes`](https://huggingface.co/datasets/ghananlpcommunity/asante-twi-bible-speech-phonemes) β€” 44100 Hz
359
+ - [`ghananlpcommunity/twi-trigrams-speech-text-parallel`](https://huggingface.co/datasets/ghananlpcommunity/twi-trigrams-speech-text-parallel) β€” 44100 Hz
360
+ - [`grandhigh/sample-id`](https://huggingface.co/datasets/grandhigh/sample-id) β€” 44100 Hz
361
+ - [`grider-transwithai/nekopara-speech`](https://huggingface.co/datasets/grider-transwithai/nekopara-speech) β€” 44100 Hz
362
+ - [`hananeek2/STT-algerian-dialect`](https://huggingface.co/datasets/hananeek2/STT-algerian-dialect) β€” 44100 Hz
363
+ - [`hhim8826/japanese-anime-speech-v2-split`](https://huggingface.co/datasets/hhim8826/japanese-anime-speech-v2-split) β€” 44100 Hz
364
+ - [`humairawan/AnimeSpeech`](https://huggingface.co/datasets/humairawan/AnimeSpeech) β€” 44100 Hz
365
+ - [`jdapaah/asante-twi-bible`](https://huggingface.co/datasets/jdapaah/asante-twi-bible) β€” 44100 Hz
366
+ - [`joujiboi/kuroyukihime-speech`](https://huggingface.co/datasets/joujiboi/kuroyukihime-speech) β€” 44100 Hz
367
+ - [`kizuna-intelligence/AItuber-Persona-Voices-JA`](https://huggingface.co/datasets/kizuna-intelligence/AItuber-Persona-Voices-JA) β€” 44100 Hz
368
+ - [`langswap/dialogs-ru-emotional-conversations`](https://huggingface.co/datasets/langswap/dialogs-ru-emotional-conversations) β€” 44100 Hz
369
+ - [`MatrixStudio/TTS-SCFChilSC`](https://huggingface.co/datasets/MatrixStudio/TTS-SCFChilSC) β€” 44100 Hz
370
+ - [`metricv/tl-whisper`](https://huggingface.co/datasets/metricv/tl-whisper) β€” 44100 Hz
371
+ - [`Michel21/rick-sanchez`](https://huggingface.co/datasets/Michel21/rick-sanchez) β€” 44100 Hz
372
+ - [`MikhailT/hifi-tts`](https://huggingface.co/datasets/MikhailT/hifi-tts) β€” 44100 Hz
373
+ - [`MohamedRashad/SCC22`](https://huggingface.co/datasets/MohamedRashad/SCC22) β€” 44100 Hz
374
+ - [`MothersTongue/mother_tongue_dataset`](https://huggingface.co/datasets/MothersTongue/mother_tongue_dataset) β€” 44100 Hz
375
+ - [`msnowchanj/pvariant-EQ`](https://huggingface.co/datasets/msnowchanj/pvariant-EQ) β€” 44100 Hz
376
+ - [`Pragmaticl/Trys2`](https://huggingface.co/datasets/Pragmaticl/Trys2) β€” 44100 Hz
377
+ - [`Pragmaticl/TuyenVanHoa2`](https://huggingface.co/datasets/Pragmaticl/TuyenVanHoa2) β€” 44100 Hz
378
+ - [`Pragmaticl/TuyenVanHoa4`](https://huggingface.co/datasets/Pragmaticl/TuyenVanHoa4) β€” 44100 Hz
379
+ - [`Professor/kinyarwanda-tts-dataset-kin`](https://huggingface.co/datasets/Professor/kinyarwanda-tts-dataset-kin) β€” 44100 Hz
380
+ - [`ray0rf1re/GLaDOS-audio-v2`](https://huggingface.co/datasets/ray0rf1re/GLaDOS-audio-v2) β€” 44100 Hz
381
+ - [`sachin6624/malayalam-tts-pro-voice`](https://huggingface.co/datasets/sachin6624/malayalam-tts-pro-voice) β€” 44100 Hz
382
+ - [`shannonnonshan/ViMedCSS-Cop`](https://huggingface.co/datasets/shannonnonshan/ViMedCSS-Cop) β€” 44100 Hz
383
+ - [`ShoukanLabs/AniSpeech`](https://huggingface.co/datasets/ShoukanLabs/AniSpeech) β€” 44100 Hz
384
+ - [`SoufianeDahimi/Tamazight-ASR-Dataset-v2`](https://huggingface.co/datasets/SoufianeDahimi/Tamazight-ASR-Dataset-v2) β€” 44100 Hz
385
+ - [`sudoping01/bam-asr-benchmark`](https://huggingface.co/datasets/sudoping01/bam-asr-benchmark) β€” 44100 Hz
386
+ - [`SynDataLab-EN-Refs/echo-ref-speakers-4k-en`](https://huggingface.co/datasets/SynDataLab-EN-Refs/echo-ref-speakers-4k-en) β€” 44100 Hz
387
+ - [`SynDataLab-EN-Refs/tts-pretrain-refs-3k-mos`](https://huggingface.co/datasets/SynDataLab-EN-Refs/tts-pretrain-refs-3k-mos) β€” 44100 Hz
388
+ - [`SynDataLab-EN/EchoTTS-OmniVoice-En`](https://huggingface.co/datasets/SynDataLab-EN/EchoTTS-OmniVoice-En) β€” 44100 Hz
389
+ - [`tensorxt/ViMedCSS`](https://huggingface.co/datasets/tensorxt/ViMedCSS) β€” 44100 Hz
390
+ - [`Thorsten-Voice/TV-44kHz-Full`](https://huggingface.co/datasets/Thorsten-Voice/TV-44kHz-Full) β€” 44100 Hz
391
+ - [`timniel/Pidgin_ASR_Dataset_Combined`](https://huggingface.co/datasets/timniel/Pidgin_ASR_Dataset_Combined) β€” 44100 Hz
392
+ - [`trysem/malayalam-tts-pro-voice`](https://huggingface.co/datasets/trysem/malayalam-tts-pro-voice) β€” 44100 Hz
393
+ - [`TutlaytAI/kabyle_asr`](https://huggingface.co/datasets/TutlaytAI/kabyle_asr) β€” 44100 Hz
394
+ - [`TutlaytAI/Kabyle_ASR-En_Translation`](https://huggingface.co/datasets/TutlaytAI/Kabyle_ASR-En_Translation) β€” 44100 Hz
395
+ - [`TutlaytAI/Kabyle_ASR-Fr_Translation`](https://huggingface.co/datasets/TutlaytAI/Kabyle_ASR-Fr_Translation) β€” 44100 Hz
396
+ - [`vsisik/voice-dataset-lili`](https://huggingface.co/datasets/vsisik/voice-dataset-lili) β€” 44100 Hz
397
+ - [`wcwxyz/test-audio`](https://huggingface.co/datasets/wcwxyz/test-audio) β€” 44100 Hz
398
+ - [`WhissleAI/Meta_STT_ZH_AIShell3`](https://huggingface.co/datasets/WhissleAI/Meta_STT_ZH_AIShell3) β€” 44100 Hz
399
+ - [`yasalma/audiobooks`](https://huggingface.co/datasets/yasalma/audiobooks) β€” 44100 Hz
400
+ - [`ymoslem/BitesizeIrish-GA-EN`](https://huggingface.co/datasets/ymoslem/BitesizeIrish-GA-EN) β€” 44100 Hz
401
+ - [`yuriilaba/toronto-tv-ukrainian`](https://huggingface.co/datasets/yuriilaba/toronto-tv-ukrainian) β€” 44100 Hz
402
+
403
+ </details>
404
+
405
+ ## Usage
406
+
407
+ ```python
408
+ import torch, soundfile as sf
409
+ from neucodec import NeuCodec
410
+
411
+ model = NeuCodec.from_pretrained("Scicom-intl/neucodec-44k-d20")
412
+ model.eval().cuda()
413
+
414
+ # encode (16 kHz path, frozen) -> codes -> decode (44.1 kHz, this finetune)
415
+ codes = model.encode_code(input_waveform=wav_16k) # [B, 1, T], identical to base NeuCodec
416
+ recon_44k = model.decode_code(codes).cpu().numpy()[0, 0] # 44 100 Hz
417
+ sf.write("recon.wav", recon_44k, 44_100)
418
+ ```
419
+
420
+ The discrete codes are **identical to base `neuphonic/neucodec`** β€” only the reconstruction
421
+ sample rate and fidelity differ.