10 citations · 16 across the 5 of their papers we have counts for
5 papers
Improving speaker verification robustness with synthetic emotional utterances
Nikhil Kumar Koditala, Chelsea Jui-Ting Ju, Ruirui Li +3
A speaker verification (SV) system offers an authentication service designed to confirm whether a given speech sample originates from a specific speaker. This technology has paved…
Contrastive-mixup learning for improved speaker verification
Xin Zhang, Minho Jin, Roger Cheng +3
This paper proposes a novel formulation of prototypical loss with mixup for speaker verification. Mixup is a simple yet efficient data augmentation technique that fabricates a weig…
Self-supervised Speaker Recognition Training Using Human-Machine Dialogues
Metehan Cekic, Ruirui Li, Zeya Chen +3
Speaker recognition, recognizing speaker identities based on voice alone, enables important downstream applications, such as personalization and authentication. Learning speaker re…
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition
Ruirui Li, Chelsea J. -T. Ju, Zeya Chen +3
By implicitly recognizing a user based on his/her speech input, speaker identification enables many downstream applications, such as personalized system behavior and expedited shop…
Non-local convolutional neural networks (nlcnn) for speaker recognition
Haici Yang, Hongda Mao, Ruirui Li +2
Speaker recognition is the process of identifying a speaker based on the voice. The technology has attracted more attention with the recent increase in popularity of smart voice as…