Search Results for author:
Found 5 papers, 0 papers with code
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation
The joint model uses contextual information, such as a reference of the playback audio, noise context, and speaker embedding.
Cleanformer: A multichannel array configuration-invariant neural enhancement frontend for ASR in smart speakers
This work introduces the Cleanformer, a streaming multichannel neural based enhancement frontend for automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
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 devices and smart home speakers.
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation
Compared to the noisy baseline, the joint model reduces the word error rate in low signal-to-noise ratio conditions by at least 71% on our echo cancellation dataset, 10% on our noisy dataset, and 26% on our multi-speaker dataset.
Cross-attention conformer for context modeling in speech enhancement for ASR
This work introduces \emph{cross-attention conformer}, an attention-based architecture for context modeling in speech enhancement.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
