46 citations · 82 across the 9 of their papers we have counts for
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cs.SD2020
Robust Multi-channel Speech Recognition using Frequency Aligned Network
Taejin Park, Kenichi Kumatani, Minhua Wu +1
Conventional speech enhancement technique such as beamforming has known benefits for far-field speech recognition. Our own work in frequency-domain multi-channel acoustic modeling…
cs.SD2020★ 1 cited
Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning
Sanna Wager, Aparna Khare, Minhua Wu +2
In this work, we investigated the teacher-student training paradigm to train a fully learnable multi-channel acoustic model for far-field automatic speech recognition (ASR). Using…
cs.SD2020★ 3 cited
Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression
Aparna Khare, Shiva Sundaram, Minhua Wu
Recent literature has shown that a learned front end with multi-channel audio input can outperform traditional beam-forming algorithms for automatic speech recognition (ASR). In th…