3 citations · 5 across the 5 of their papers we have counts for
5 papers
A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy
Sankaran Panchapagesan, Arun Narayanan, Turaj Zakizadeh Shabestary +5
Acoustic Echo Cancellation (AEC) is essential for accurate recognition of queries spoken to a smart speaker that is playing out audio. Previous work has shown that a neural AEC mod…
Mask scalar prediction for improving robust automatic speech recognition
Arun Narayanan, James Walker, Sankaran Panchapagesan +2
Using neural network based acoustic frontends for improving robustness of streaming automatic speech recognition (ASR) systems is challenging because of the causality constraints a…
Cleanformer: A multichannel array configuration-invariant neural enhancement frontend for ASR in smart speakers
Joseph Caroselli, Arun Narayanan, Nathan Howard +1
This work introduces the Cleanformer, a streaming multichannel neural based enhancement frontend for automatic speech recognition (ASR). This model has a conformer-based architectu…
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation
Tom O'Malley, Arun Narayanan, Quan Wang +3
We present a frontend for improving robustness of automatic speech recognition (ASR), that jointly implements three modules within a single model: acoustic echo cancellation, speec…
A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer And Large Scale Synthetic Data
Nathan Howard, Alex Park, Turaj Zakizadeh Shabestary +2
We consider the problem of recognizing speech utterances spoken to a device which is generating a known sound waveform; for example, recognizing queries issued to a digital assista…