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--- |
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dataset_name: TTS Audio Dataset |
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tags: |
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- audio |
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- speech |
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- tts |
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language: |
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- uz |
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license: other |
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task_categories: |
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- text-to-speech |
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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: data/train-* |
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dataset_info: |
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features: |
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- name: transcription |
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dtype: string |
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- name: start |
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dtype: float64 |
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- name: end |
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dtype: float64 |
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- name: duration |
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dtype: float64 |
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- name: word_count |
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dtype: int64 |
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- name: source_file |
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dtype: string |
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- name: audio_quality |
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struct: |
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- name: rms_energy |
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dtype: float64 |
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- name: silence_ratio |
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dtype: float64 |
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- name: vad_refinement |
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struct: |
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- name: ctc_end |
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dtype: float64 |
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- name: ctc_start |
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dtype: float64 |
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- name: enabled |
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dtype: bool |
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- name: end_adjustment |
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dtype: float64 |
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- name: search_windows |
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sequence: float64 |
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- name: start_adjustment |
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dtype: float64 |
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- name: vad_end |
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dtype: float64 |
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- name: vad_start |
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dtype: float64 |
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- name: speaker_validation |
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struct: |
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- name: has_overlap |
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dtype: bool |
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- name: is_valid |
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dtype: bool |
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- name: overlap_duration |
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dtype: float64 |
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- name: rejection_reason |
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dtype: 'null' |
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- name: segments |
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list: |
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- name: end |
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dtype: float64 |
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- name: speaker |
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dtype: string |
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- name: start |
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dtype: float64 |
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- name: speaker_count |
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dtype: int64 |
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- name: audio |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 472360010 |
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num_examples: 1292013 |
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download_size: 208630665 |
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dataset_size: 472360010 |
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--- |
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# TTS Audio Dataset |
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### Description |
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Audio dataset for STT and TTS. |
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Each file is ~5 minutes long and may contain multiple utterances. |
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Includes paired audio and transcriptions. |
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--- |
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### Data Format |
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- **Audio:** FLAC, 24kHz, 16-bit PCM |
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- **Text:** Transcriptions in plain text (UTF-8) |
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--- |
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### Source |
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Collected from publicly available materials. |
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--- |
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### Processing Notes |
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The audio is ~5 minutes long and sometimes noisy, so it requires denoising and must be chunked into smaller segments using an aligner before training. |
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--- |
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### Use Cases |
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Suitable for training speech-to-text (STT) and text-to-speech (TTS) models. |
