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README.md
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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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## Model Details
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- **Model type**: NeMo ASR
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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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# 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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## Model Details
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- **Model type**: NeMo ASR
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