Automatic Speech Recognition
Transformers
Safetensors
Panjabi
whisper
asr
gurbani
gurmukhi
punjabi
sehaj-path
kirtan
Eval Results (legacy)
surindersinghssj commited on
Commit
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1 Parent(s): edce3e7

Update training data description to 'publicly available recordings with aligned transcripts'

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  1. README.md +3 -3
README.md CHANGED
@@ -118,9 +118,9 @@ model.generation_config.forced_decoder_ids = None
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  | Source | Repo | Hours | Role |
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  |---|---|---|---|
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- | New sehaj (YouTube captions) | [`gurbani-sehajpath-yt-captions-canonical`](https://huggingface.co/datasets/surindersinghssj/gurbani-sehajpath-yt-captions-canonical) | ~160h | Primary sehaj stream |
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  | Old sehaj (studio) | [`gurbani-sehajpath`](https://huggingface.co/datasets/surindersinghssj/gurbani-sehajpath) | ~66h | Extra sehaj stream |
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- | Kirtan (YouTube captions) | [`gurbani-kirtan-yt-captions-300h-canonical`](https://huggingface.co/datasets/surindersinghssj/gurbani-kirtan-yt-captions-300h-canonical) | ~420h | Aux kirtan stream |
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  Training mix: **~220h sehaj** (36%) **+ ~420h kirtan** (64%) via oversampling aux at `AUX_TRAIN_PROBABILITY=0.64`. Text column normalized to `final_text` on all canonical sources. Old sehaj's `gurmukhi_text` column renamed at load.
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@@ -189,7 +189,7 @@ Training mix: **~220h sehaj** (36%) **+ ~420h kirtan** (64%) via oversampling au
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  - Not trained on **non-Gurbani Punjabi speech** — expect degradation on everyday Punjabi conversation
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  - Not trained on **English / Hindi / other languages** — base Whisper multilingual ability is mostly lost after full fine-tune
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- - **Speaker / mic / recording bias** — training data skews toward YouTube-sourced recordings; live Darbar Sahib PA reverb or noisy field recordings may WER worse
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  - **Katha (spoken commentary)** is not in the training distribution — quality will vary
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  ## How this compares to prior Surt versions
 
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  | Source | Repo | Hours | Role |
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  |---|---|---|---|
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+ | New sehaj (publicly available recordings with aligned transcripts) | [`gurbani-sehajpath-yt-captions-canonical`](https://huggingface.co/datasets/surindersinghssj/gurbani-sehajpath-yt-captions-canonical) | ~160h | Primary sehaj stream |
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  | Old sehaj (studio) | [`gurbani-sehajpath`](https://huggingface.co/datasets/surindersinghssj/gurbani-sehajpath) | ~66h | Extra sehaj stream |
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+ | Kirtan (publicly available recordings with aligned transcripts) | [`gurbani-kirtan-yt-captions-300h-canonical`](https://huggingface.co/datasets/surindersinghssj/gurbani-kirtan-yt-captions-300h-canonical) | ~420h | Aux kirtan stream |
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  Training mix: **~220h sehaj** (36%) **+ ~420h kirtan** (64%) via oversampling aux at `AUX_TRAIN_PROBABILITY=0.64`. Text column normalized to `final_text` on all canonical sources. Old sehaj's `gurmukhi_text` column renamed at load.
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  - Not trained on **non-Gurbani Punjabi speech** — expect degradation on everyday Punjabi conversation
191
  - Not trained on **English / Hindi / other languages** — base Whisper multilingual ability is mostly lost after full fine-tune
192
+ - **Speaker / mic / recording bias** — training data skews toward publicly available web-sourced recordings with aligned transcripts; live Darbar Sahib PA reverb or noisy field recordings may WER worse
193
  - **Katha (spoken commentary)** is not in the training distribution — quality will vary
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  ## How this compares to prior Surt versions