Noisy far-field speech recognition
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United States of America
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Apr 1, 2025
Grant Date -
Feb 2, 2023
app pub date -
Jul 30, 2021
filing date -
Jul 30, 2021
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status (Latency Note)
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Abstract
The accuracy of automatic speech recognition (ASR) tasks is improved using trained models. A speech recognition model is applied in a noisy environment where speech is spoken at a distance from the microphones. The techniques may include extracting speech features, data augmentation by adding feature perturbation, and/or a multi-domain end-to-end speech recognition model. In some implementations, the described technology includes using a teacher-group knowledge distillation strategy to train a deep end-to-end speech recognition model on original speech samples and the sample speech augmentation of the original speech samples, that outputs recognized text transcriptions corresponding to speech detected in the original speech samples and the sample speech augmentation.
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