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07/03/2023
Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays
The performance of speaker verification degrades significantly in advers...
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02/21/2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition
The success of adversarial attacks to speaker recognition is mainly in w...
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11/02/2022
Fast-U2++: Fast and Accurate End-to-End Speech Recognition in Joint CTC/Attention Frames
Recently, the unified streaming and non-streaming two-pass (U2/U2++) end...
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11/02/2022
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification
Although the security of automatic speaker verification (ASV) is serious...
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10/30/2022
Symmetric Saliency-based Adversarial Attack To Speaker Identification
Adversarial attack approaches to speaker identification either need high...
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10/30/2022
WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkit
Keyword spotting (KWS) enables speech-based user interaction and gradual...
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10/19/2022
Deep Learning Based Two-dimensional Speaker Localization With Large Ad-hoc Microphone Arrays
Deep learning based speaker localization has shown its advantage in reve...
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10/16/2022
End-to-end Two-dimensional Sound Source Localization With Ad-hoc Microphone Arrays
Conventional sound source localization methods are mostly based on a sin...
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07/25/2022
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) transfers knowledge from a label-ri...
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10/12/2021
Frame-level multi-channel speaker verification with large-scale ad-hoc microphone arrays
Ad-hoc microphone arrays has recieved attention, in which the number and...
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07/13/2021
Conformer-based End-to-end Speech Recognition With Rotary Position Embedding
Transformer-based end-to-end speech recognition models have received con...
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07/13/2021
AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data
Deep neural networks provide effective solutions to small-footprint keyw...
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07/05/2021
Unsupervised Ensemble Selection for Multilayer Bootstrap Networks
Multilayer bootstrap network (MBN), which is a recent simple unsupervise...
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07/01/2021
Attention-based multi-channel speaker verification with ad-hoc microphone arrays
Recently, ad-hoc microphone array has been widely studied. Unlike tradit...
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04/14/2021
Efficient conformer-based speech recognition with linear attention
Recently, conformer-based end-to-end automatic speech recognition, which...
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03/29/2021
Transformer-based end-to-end speech recognition with residual Gaussian-based self-attention
Self-attention (SA), which encodes vector sequences according to their p...
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03/29/2021
Scaling sparsemax based channel selection for speech recognition with ad-hoc microphone arrays
Recently, speech recognition with ad-hoc microphone arrays has received ...
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02/24/2021
Deep NMF Topic Modeling
Nonnegative matrix factorization (NMF) based topic modeling methods do n...
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01/16/2021
Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation
Multichannel blind source separation aims to recover the latent sources ...
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12/01/2020
Deep Ad-hoc Beamforming Based on Speaker Extraction for Target-Dependent Speech Separation
Recently, the research on ad-hoc microphone arrays with deep learning ha...
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11/29/2020
A comparison of handcrafted, parameterized, and learnable features for speech separation
The design of acoustic features is important for speech separation. It c...
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10/23/2020
Speech enhancement aided end-to-end multi-task learning for voice activity detection
Robust voice activity detection (VAD) is a challenging task in low signa...
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10/23/2020
Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention
Recently, several studies reported that dot-product selfattention (SA) m...
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04/25/2020
Depthwise Separable Convolutional ResNet with Squeeze-and-Excitation Blocks for Small-footprint Keyword Spotting
One difficult problem of keyword spotting is how to miniaturize its memo...
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03/31/2020
Augmented Q Imitation Learning (AQIL)
The study of unsupervised learning can be generally divided into two cat...
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11/19/2019
Partial AUC optimization based deep speaker embeddings with class-center learning for text-independent speaker verification
Deep embedding based text-independent speaker verification has demonstra...
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10/24/2019
Deep topic modeling by multilayer bootstrap network and lasso
Topic modeling is widely studied for the dimension reduction and analysi...
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10/24/2019
Multi-channel Speech Separation Using Deep Embedding Model with Multilayer Bootstrap Networks
Recently, deep clustering (DPCL) based speaker-independent speech separa...
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11/03/2018
Deep Ad-hoc Beamforming
Deep learning based speech enhancement methods face two problems. First,...
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02/12/2018
Linear Regression for Speaker Verification
This paper presents a linear regression based back-end for speaker verif...
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03/22/2015
Unsupervised model compression for multilayer bootstrap networks
Recently, multilayer bootstrap network (MBN) has demonstrated promising ...
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12/03/2014
Deep Distributed Random Samplings for Supervised Learning: An Alternative to Random Forests?
In (zhang2014nonlinear,zhang2014nonlinear2), we have viewed machine lear...
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08/05/2014
Multilayer bootstrap networks
Multilayer bootstrap network builds a gradually narrowed multilayer nonl...
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08/22/2013
Learning Deep Representation Without Parameter Inference for Nonlinear Dimensionality Reduction
Unsupervised deep learning is one of the most powerful representation le...
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03/04/2013
