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Datasets:
leeoxiang
/
multi_lingo_data

Tasks:
Text-to-Speech
Audio-to-Audio
Modalities:
Audio
Tabular
Text
Languages:
English
Japanese
Korean
Size:
1K - 10K
License:
Dataset card Data Studio Files
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 Community
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  1. README.md +65 -0
  2. reference_audios/ja/ja_100_JA_B00002_S09900.mp3 +3 -0
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  50. references.jsonl +0 -0
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ - ja
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+ - ko
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+ - zh
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+ task_categories:
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+ - text-to-speech
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+ - audio-to-audio
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+ size_categories:
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+ - 1K<n<10K
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: references.jsonl
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+ ---
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+
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+ # Multi-lingual TTS Reference Audios
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+
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+ Curated real-speaker reference clips selected from Emilia by
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+ ``scripts/select_references.py`` (dnsmos-filtered, duration 4–15 s,
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+ one clip per speaker). Intended as ``reference_audio`` input for
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+ zero-shot voice-clone TTS engines (fish-speech S2-Pro, Higgs-Audio-V3,
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+ CosyVoice3, etc.).
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+
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+ - Total refs: **1200**
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+ - Total duration: **2.85 h**
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+ - Repo: `leeoxiang/multi_lingo_data`
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+
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+ ## Layout
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+
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+ ```
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+ leeoxiang/multi_lingo_data/
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+ ├── references.jsonl
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+ └── reference_audios/
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+ └── <lang>/<ref_id>.<ext>
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+ ```
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+
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+ Each row of ``references.jsonl`` points to its wav via ``audio_file``
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+ (relative to the repo root), so the HF audiofolder / datasets loader
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+ can resolve it automatically.
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+
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+ ## Per-language counts
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+
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+ | lang | n_refs |
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+ |------|--------|
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+ | en | 300 |
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+ | ja | 300 |
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+ | ko | 300 |
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+ | zh | 300 |
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+
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+ ## Fields
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+
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+ | field | description |
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+ |---------------|------------------------------------------------|
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+ | ref_id | globally unique key `<lang>_<idx>_<speaker>` |
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+ | lang | ISO 639-1 language |
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+ | speaker_id | source speaker id from Emilia |
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+ | audio_file | relative path inside this repo |
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+ | text | transcript of the reference clip |
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+ | duration | seconds |
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+ | dnsmos | DNSMOS quality score (higher = cleaner) |
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+ | source_file | origin metadata jsonl name |
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