63 citations · 235 across the 37 of their papers we have counts for
14 papers · 1 filter
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Jiadi Yao, Xing Chen, Xiao-Lei Zhang +2
Adversarial attack approaches to speaker identification either need high computational cost or are not very effective, to our knowledge. To address this issue, in this paper, we pr…
Conformer-based End-to-end Speech Recognition With Rotary Position Embedding
Shengqiang Li, Menglong Xu, Xiao-Lei Zhang
Transformer-based end-to-end speech recognition models have received considerable attention in recent years due to their high training speed and ability to model a long-range globa…
Attention-based multi-channel speaker verification with ad-hoc microphone arrays
Chengdong Liang, Junqi Chen, Shanzheng Guan +1
Recently, ad-hoc microphone array has been widely studied. Unlike traditional microphone array settings, the spatial arrangement and number of microphones of ad-hoc microphone arra…
Efficient conformer-based speech recognition with linear attention
Shengqiang Li, Menglong Xu, Xiao-Lei Zhang
Recently, conformer-based end-to-end automatic speech recognition, which outperforms recurrent neural network based ones, has received much attention. Although the parallel computi…
Transformer-based end-to-end speech recognition with residual Gaussian-based self-attention
Chengdong Liang, Menglong Xu, Xiao-Lei Zhang
Self-attention (SA), which encodes vector sequences according to their pairwise similarity, is widely used in speech recognition due to its strong context modeling ability. However…
Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation
Jianyu Wang, Shanzheng Guan, Shupei Liu +1
Multichannel blind audio source separation aims to recover the latent sources from their multichannel mixtures without supervised information. One state-of-the-art blind audio sour…
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation
Ziye Yang, Shanzheng Guan, Xiao-Lei Zhang
Recently, the research on ad-hoc microphone arrays with deep learning has drawn much attention, especially in speech enhancement and separation. Because an ad-hoc microphone array…
A comparison of handcrafted, parameterized, and learnable features for speech separation
Wenbo Zhu, Mou Wang, Xiao-Lei Zhang +1
The design of acoustic features is important for speech separation. It can be roughly categorized into three classes: handcrafted, parameterized, and learnable features. Among them…
Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
Menglong Xu, Shengqiang Li, Xiao-Lei Zhang
Recently, several studies reported that dot-product selfattention (SA) may not be indispensable to the state-of-theart Transformer models. Motivated by the fact that dense synthesi…
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting
Menglong Xu, Xiao-Lei Zhang
One difficult problem of keyword spotting is how to miniaturize its memory footprint while maintain a high precision. Although convolutional neural networks have shown to be effect…
Multi-channel Speech Separation Using Deep Embedding Model with Multilayer Bootstrap Networks
Ziye Yang, Xiao-Lei Zhang
Recently, deep clustering (DPCL) based speaker-independent speech separation has drawn much attention, since it needs little speaker prior information. However, it still has much r…
Deep Ad-hoc Beamforming
Xiao-Lei Zhang
Far-field speech processing is an important and challenging problem. In this paper, we propose \textit{deep ad-hoc beamforming}, a deep-learning-based multichannel speech enhanceme…
Linear Regression for Speaker Verification
Xiao-Lei Zhang
This paper presents a linear regression based back-end for speaker verification. Linear regression is a simple linear model that minimizes the mean squared estimation error between…
An Investigation of Universal Background Sparse Coding Based Speaker Verification on TIMIT
Xiao-Lei Zhang
In this paper, we propose a universal background model, named universal background sparse coding (UBSC), for speaker verification. The proposed method trains an ensemble of cluster…