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Update README.md

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@@ -8,9 +8,16 @@ metrics:
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  - wer
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  base_model:
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  - nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
 
 
 
 
 
 
 
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  ---
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- # Aibharath-FastConformer-Hindi-ASR
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  This model is a fine-tuned version of **STT En FastConformer Hybrid Large Streaming** from NVIDIA's NeMo framework, specifically optimized for **Hindi automatic speech recognition (ASR)**. The model has been fine-tuned on the **Aibharath Hindi dataset** to enhance transcription accuracy for Hindi speech, including real-time streaming applications.
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@@ -41,4 +48,4 @@ asr_model.encoder.set_default_att_context_size([70,13])
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  #Optional: change the default decoder. Default decoder is Transducer (RNNT). Supported decoders: {ctc, rnnt}.
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  asr_model.change_decoding_strategy(decoder_type='rnnt')
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- asr_model.transcribe(['2086-149220-0033.wav'])
 
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  - wer
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  base_model:
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  - nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
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+ new_version: nvidia/stt_en_fastconformer_hybrid_large_streaming_multi
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+ pipeline_tag: automatic-speech-recognition
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+ tags:
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+ - Nemo
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+ - Hindi
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+ - ASR
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+ - FastConformer
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  ---
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+ # Salesken-Streaming-FastConformer-Hindi-ASR
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  This model is a fine-tuned version of **STT En FastConformer Hybrid Large Streaming** from NVIDIA's NeMo framework, specifically optimized for **Hindi automatic speech recognition (ASR)**. The model has been fine-tuned on the **Aibharath Hindi dataset** to enhance transcription accuracy for Hindi speech, including real-time streaming applications.
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  #Optional: change the default decoder. Default decoder is Transducer (RNNT). Supported decoders: {ctc, rnnt}.
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  asr_model.change_decoding_strategy(decoder_type='rnnt')
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+ asr_model.transcribe(['2086-149220-0033.wav'])