2 citations · 4 across the 5 of their papers we have counts for
5 papers
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation
Tom O'Malley, Arun Narayanan, Quan Wang
Recent work has shown that it is possible to train a single model to perform joint acoustic echo cancellation (AEC), speech enhancement, and voice separation, thereby serving as 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…
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
Shaojin Ding, Rajeev Rikhye, Qiao Liang +5
Personalization of on-device speech recognition (ASR) has seen explosive growth in recent years, largely due to the increasing popularity of personal assistant features on mobile d…
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…
Cross-attention conformer for context modeling in speech enhancement for ASR
Arun Narayanan, Chung-Cheng Chiu, Tom O'Malley +2
This work introduces \emph{cross-attention conformer}, an attention-based architecture for context modeling in speech enhancement. Given that the context information can often be s…