The speech recognition module of OpusLM_7B_Anneal is implemented through the Speech2Text class, which requires the input audio to be a mono WAV file with a sampling rate compatible with the model training configuration (typically 16kHz). The process includes: loading the pre-trained model, inputting the audio path to obtain the recognized text. For audio with background noise, it is recommended to use the speech enhancement function that comes with the model to pre-process it first. Typical application scenarios include conference transcription, voice command parsing, etc. Its multilingual recognition capability is especially suitable for internationalized products. For audio longer than 30 seconds, it needs to be segmented to avoid memory overflow, which is determined by the memory consumption of the Transformer architecture.
This answer comes from the articleOpusLM_7B_Anneal: an efficient unified model for speech recognition and synthesisThe
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