R&D

Improved Far Field Speech Recognition with Microphone Arrays

The promise of far field speech recognition is a more natural human machine interaction. The ability for an intelligent, ambient device to be able to listen to a conversation taking place at a distance from the microphones is a challenging task due to the adverse effects of room reverberation, noise and the dynamic nature of the interaction (speaker movements). Moreover, in the ambient scenario, it is assumed that the speakers do not alter their speech articulation to accommodate a machine listener, as would be the case for voice search or dictation for example. We present a novel multi-channel front-end based on channel shortening with the Weighted Prediction Error (WPE) method followed by a fixed MVDR beamformer used in combination with a recently proposed self-attention-based channel combination (SACC) scheme, for tackling the distant ASR problem. We show that our proposed front-end used as part of an end-to-end (E2E) ASR system outperforms leading ASR systems resulting in 22% fewer errors.

Posted May 2, 2022
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