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WhissleAI
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speech-tagger_bn_ctc_meta

NeMo
Bengali
speech_recognition
entity_tagging
dialect_prediction
gender
age
intent
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ksingla025 commited on
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Update README.md

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@@ -33,7 +33,7 @@ This speech tagger performs transcription for Bengali, annotates key entities, p
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  import nemo.collections.asr as nemo_asr
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  # Load model
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- asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained('WhissleAI/speech-tagger_be_ctc_meta')
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  # Transcribe audio
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  transcription = asr_model.transcribe(['path/to/audio.wav'])
 
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  import nemo.collections.asr as nemo_asr
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  # Load model
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+ asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained('WhissleAI/speech-tagger_bn_ctc_meta')
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  # Transcribe audio
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  transcription = asr_model.transcribe(['path/to/audio.wav'])