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stt_en_fastconformer_transducer_large

Automatic Speech Recognition
NeMo
PyTorch
English
speech
audio
Transducer
FastConformer
Transformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Model card Files
xet
 Community
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@@ -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
@@ -175,7 +175,8 @@ wget https://dldata-public.s3.us-east-2.amazonaws.com/2086-149220-0033.wav
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  ```
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  Then simply do:
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  ```
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- asr_model.transcribe(['2086-149220-0033.wav'])
 
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  ```
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  ### Transcribing many audio files
 
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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-ASR
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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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  ```
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  Then simply do:
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  ```
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+ output = asr_model.transcribe(['2086-149220-0033.wav'])
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+ print(output[0].text)
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  ```
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  ### Transcribing many audio files