63 citations · 235 across the 37 of their papers we have counts for
7 papers · 1 filter
Deep Learning Based Stage-wise Two-dimensional Speaker Localization with Large Ad-hoc Microphone Arrays
Shupei Liu, Linfeng Feng, Yijun Gong +4
While deep-learning-based speaker localization has shown advantages in challenging acoustic environments, it often yields only direction-of-arrival (DOA) cues rather than precise t…
AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data
Menglong Xu, Shengqiang Li, Chengdong Liang +1
Deep neural networks provide effective solutions to small-footprint keyword spotting (KWS). However, if training data is limited, it remains challenging to achieve robust and highl…
Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays
Junqi Chen, Xiao-Lei Zhang
Recently, speech recognition with ad-hoc microphone arrays has received much attention. It is known that channel selection is an important problem of ad-hoc microphone arrays, howe…
Speaker Recognition Based on Deep Learning: An Overview
Zhongxin Bai, Xiao-Lei Zhang
Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, there is lack of compr…
Speech enhancement aided end-to-end multi-task learning for voice activity detection
Xu Tan, Xiao-Lei Zhang
Robust voice activity detection (VAD) is a challenging task in low signal-to-noise (SNR) environments. Recent studies show that speech enhancement is helpful to VAD, but the perfor…
Learning deep representations by multilayer bootstrap networks for speaker diarization
Meng-Zhen Li, Xiao-Lei Zhang
The performance of speaker diarization is strongly affected by its clustering algorithm at the test stage. However, it is known that clustering algorithms are sensitive to random n…
Speaker Verification By Partial AUC Optimization With Mahalanobis Distance Metric Learning
Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen
Receiver operating characteristic (ROC) and detection error tradeoff (DET) curves are two widely used evaluation metrics for speaker verification. They are equivalent since the lat…