In this paper, we discuss the key algorithms within the AFE, and we provide insights into how these algorithms help in mitigating the various acoustical ...
Echo devices use a highly specialized multi-channel (or multi-microphone) AFE, which significantly improves the ASR and WW performance under a variety of ...
The key algorithms within the AFE are discussed, and insights into how these algorithms help in mitigating the various acoustical challenges for far-field ...
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Aug 31, 2021 · In this approach, spatial information embedded in the multichannel audio is used to enhance the speech signal consumed by the ASR backend. Two ...
Feb 1, 2020 · In this work, we investigated the teacher-student training paradigm to train a fully learnable multi-channel acoustic model for far-field ...
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.
In this work, we investigated the teacher-student training paradigm to train a fully learnable multi-channel acoustic model for far-field automatic speech ...
Jan 5, 2024 · In this paper, we propose a unified multichannel far-field speech recognition system that combines the neural beamforming and transformer-based Listen, Spell, ...
Missing: Front- | Show results with:Front-
In this work, we propose the self-attention channel combinator (SACC) ASR frontend, which leverages the self-attention mechanism to combine multichannel audio ...
Automatic speech recognition (ASR) in the cloud allows the use of larger models and more powerful multi-channel signal processing front-ends compared to ...