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- ---
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- language:
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- - en
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- library_name: nemo
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- datasets:
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- - librispeech_asr
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- - fisher_corpus
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- - Switchboard-1
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- - WSJ-0
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- - WSJ-1
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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_7_0
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- thumbnail: null
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- tags:
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- - automatic-speech-recognition
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- - speech
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- - audio
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- - CTC
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- - Conformer
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- - Transformer
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- - pytorch
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- - NeMo
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- - hf-asr-leaderboard
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- - Riva
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- license: cc-by-4.0
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-
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  # This speech tagger performs transcription for Hindi, annotates key entities, predict speaker age, dialiect and intent.
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  Model is suitable for voiceAI applications, real-time and offline.
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  Dataset is from AI4Bharat IndicVoices Hindi V1 and V2 dataset.
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- https://indicvoices.ai4bharat.org/
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  # This speech tagger performs transcription for Hindi, annotates key entities, predict speaker age, dialiect and intent.
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  Model is suitable for voiceAI applications, real-time and offline.
 
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  Dataset is from AI4Bharat IndicVoices Hindi V1 and V2 dataset.
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+ https://indicvoices.ai4bharat.org/