50 citations · 95 across the 7 of their papers we have counts for
7 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…
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…
Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection
Wei Xia, Han Lu, Quan Wang +4
In this paper, we present a novel speaker diarization system for streaming on-device applications. In this system, we use a transformer transducer to detect the speaker turns, repr…
Signal Combination for Language Identification
Shengye Wang, Li Wan, Yang Yu +1
Google's multilingual speech recognition system combines low-level acoustic signals with language-specific recognizer signals to better predict the language of an utterance. This p…
Attention-Based Models for Text-Dependent Speaker Verification
F A Rezaur Rahman Chowdhury, Quan Wang, Ignacio Lopez Moreno +1
Attention-based models have recently shown great performance on a range of tasks, such as speech recognition, machine translation, and image captioning due to their ability to summ…
Generalized End-to-End Loss for Speaker Verification
Li Wan, Quan Wang, Alan Papir +1
In this paper, we propose a new loss function called generalized end-to-end (GE2E) loss, which makes the training of speaker verification models more efficient than our previous tu…
End-to-End Text-Dependent Speaker Verification
Georg Heigold, Ignacio Moreno, Samy Bengio +1
In this paper we present a data-driven, integrated approach to speaker verification, which maps a test utterance and a few reference utterances directly to a single score for verif…