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nemo_toolkit_pretrained_asr_model_audio_transcription.py
pythonThis quickstart demonstrates how to load a pre-trained Automatic Speech Rec
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nemo_toolkit_pretrained_asr_model_audio_transcription.py
1import nemo.collections.asr as nemo_asr
2
3# 1. Instantiate the model from the NVIDIA cloud (e.g., QuartzNet or CitriNet)
4asr_model = nemo_asr.models.ASRModel.from_pretrained(model_name="asr_talknet_ctc_bpe")
5
6# 2. Transcribe an audio file
7# Note: Provide the path to a local .wav file
8transcription = asr_model.transcribe(['path_to_audio_file.wav'])
9
10# 3. Print the result
11print(f"Transcription: {transcription[0]}")