Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
CTC
FastConformer
Transformer
NeMo
hf-asr-leaderboard
Eval Results
nithinraok orena commited on
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42b3eb6
1 Parent(s): da95457

spelling mistake (#2)

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Co-authored-by: oren <orena@users.noreply.huggingface.co>

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  1. README.md +4 -4
README.md CHANGED
@@ -11,9 +11,9 @@ datasets:
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  - National-Singapore-Corpus-Part-1
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  - National-Singapore-Corpus-Part-6
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  - vctk
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- - VoxPopuli-(EN)
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- - Europarl-ASR-(EN)
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- - Multilingual-LibriSpeech-(2000-hours)
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  - mozilla-foundation/common_voice_8_0
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  - MLCommons/peoples_speech
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  thumbnail: null
@@ -165,7 +165,7 @@ The model is available for use in the NeMo toolkit [3], and can be used as a pre
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  ```python
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  import nemo.collections.asr as nemo_asr
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- asr_model = nemo_asr.models.EncDecCTCTBPEModel.from_pretrained(model_name="nvidia/stt_en_fastconformer_ctc_large")
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  ```
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  ### Transcribing using Python
 
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  - National-Singapore-Corpus-Part-1
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  - National-Singapore-Corpus-Part-6
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  - vctk
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+ - voxpopuli
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+ - europarl
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+ - multilingual_librispeech
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  - mozilla-foundation/common_voice_8_0
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  - MLCommons/peoples_speech
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  thumbnail: null
 
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  ```python
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  import nemo.collections.asr as nemo_asr
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+ asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(model_name="nvidia/stt_en_fastconformer_ctc_large")
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  ```
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  ### Transcribing using Python