431 citations · 732 across the 28 of their papers we have counts for
31 papers
Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss
Guanlong Zhao, Quan Wang, Han Lu +2
In this work we propose a novel token-based training strategy that improves Transformer-Transducer (T-T) based speaker change detection (SCD) performance. The conventional T-T base…
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting
Beltrán Labrador, Guanlong Zhao, Ignacio López Moreno +3
In this paper, we present a novel approach to adapt a sequence-to-sequence Transformer-Transducer ASR system to the keyword spotting (KWS) task. We achieve this by replacing the ke…
Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
Quan Wang, Yiling Huang, Han Lu +2
While recent research advances in speaker diarization mostly focus on improving the quality of diarization results, there is also an increasing interest in improving the efficiency…
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…
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…
Parameter-Free Attentive Scoring for Speaker Verification
Jason Pelecanos, Quan Wang, Yiling Huang +1
This paper presents a novel study of parameter-free attentive scoring for speaker verification. Parameter-free scoring provides the flexibility of comparing speaker representations…