research
∙
11/22/2022
Deep Neural Mel-Subband Beamformer for In-car Speech Separation
While current deep learning (DL)-based beamforming techniques have been ...
share
research
∙
05/20/2022
NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement
Acoustic echo cancellation (AEC) plays an important role in the full-dup...
research
∙
03/31/2022
EEND-SS: Joint End-to-End Neural Speaker Diarization and Speech Separation for Flexible Number of Speakers
In this paper, we present a novel framework that jointly performs speake...
research
∙
03/30/2022
Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE
Variational auto-encoder(VAE) is an effective neural network architectur...
research
∙
11/29/2021
Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization
Conversational bilingual speech encompasses three types of utterances: t...
research
∙
11/09/2021
Joint AEC AND Beamforming with Double-Talk Detection using RNN-Transformer
Acoustic echo cancellation (AEC) is a technique used in full-duplex comm...
research
∙
10/07/2021
FAST-RIR: Fast neural diffuse room impulse response generator
We present a neural-network-based fast diffuse room impulse response gen...
research
∙
04/17/2021
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation
Recently, our proposed recurrent neural network (RNN) based all deep lea...
research
∙
04/02/2021
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment
The objective speech quality assessment is usually conducted by comparin...
research
∙
02/16/2021
Deep Learning based Multi-Source Localization with Source Splitting and its Effectiveness in Multi-Talker Speech Recognition
Multi-source localization is an important and challenging technique for ...
research
∙
01/04/2021
Generalized RNN beamformer for target speech separation
Recently we proposed an all-deep-learning minimum variance distortionles...
research
∙
12/24/2020
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation
Many purely neural network based speech separation approaches have been ...
research
∙
12/13/2020
Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning
In this study, we investigate self-supervised representation learning fo...
research
∙
11/26/2020
Improving RNN Transducer With Target Speaker Extraction and Neural Uncertainty Estimation
Target-speaker speech recognition aims to recognize target-speaker speec...
research
∙
10/30/2020
Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization
This paper proposes a new paradigm for handling far-field multi-speaker ...
research
∙
08/21/2020
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Speech enhancement and speech separation are two related tasks, whose pu...
research
∙
05/08/2020
Neural Spatio-Temporal Beamformer for Target Speech Separation
Purely neural network (NN) based speech separation and enhancement metho...
research
∙
03/09/2020
Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning
Hand-crafted spatial features (e.g., inter-channel phase difference, IPD...
research
∙
12/17/2019
A Unified Framework for Speech Separation
Speech separation refers to extracting each individual speech source in ...
research
∙
09/16/2019
Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network
Background noise, interfering speech and room reverberation frequently d...
research
∙
09/04/2019
DurIAN: Duration Informed Attention Network For Multimodal Synthesis
In this paper, we present a generic and robust multimodal synthesis syst...
research
∙
05/17/2019
A comprehensive study of speech separation: spectrogram vs waveform separation
Speech separation has been studied widely for single-channel close-talk ...
research
∙
05/15/2019
End-to-End Multi-Channel Speech Separation
The end-to-end approach for single-channel speech separation has been st...
research
∙
04/08/2019
Improved Speaker-Dependent Separation for CHiME-5 Challenge
This paper summarizes several follow-up contributions for improving our ...
research
∙
04/07/2019
Time Domain Audio Visual Speech Separation
Audio-visual multi-modal modeling has been demonstrated to be effective ...
research
∙
07/24/2018
Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures
Speaker-aware source separation methods are promising workarounds for ma...
research
∙
04/19/2017