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01/16/2023
Multi-resolution location-based training for multi-channel continuous speech separation
The performance of automatic speech recognition (ASR) systems severely d...
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10/24/2022
Time-Domain Speech Enhancement for Robust Automatic Speech Recognition
It has been shown that the intelligibility of noisy speech can be improv...
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04/12/2022
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
Speech restoration aims to remove distortions in speech signals. Prior m...
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03/28/2022
Neural Vocoder is All You Need for Speech Super-resolution
Speech super-resolution (SR) is a task to increase speech sampling rate ...
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03/01/2022
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition
This study addresses robust automatic speech recognition (ASR) by introd...
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02/08/2022
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Ch...
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10/31/2021
Interpreting Deep Knowledge Tracing Model on EdNet Dataset
With more deep learning techniques being introduced into the knowledge t...
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10/25/2021
Multichannel Speech Enhancement without Beamforming
Deep neural networks are often coupled with traditional spatial filters,...
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10/22/2021
TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement
Deep neural networks (DNNs) have been successfully used for multichannel...
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10/20/2021
TPARN: Triple-path Attentive Recurrent Network for Time-domain Multichannel Speech Enhancement
In this work, we propose a new model called triple-path attentive recurr...
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10/08/2021
Location-based training for multi-channel talker-independent speaker separation
Permutation-invariant training (PIT) is a dominant approach for addressi...
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09/28/2021
VoiceFixer: Toward General Speech Restoration with Neural Vocoder
Speech restoration aims to remove distortions in speech signals. Prior m...
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07/14/2021
Localization Based Sequential Grouping for Continuous Speech Separation
This study investigates robust speaker localization for con-tinuous spee...
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05/26/2021
Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization
Deep neural networks (DNNs) represent the mainstream methodology for sup...
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11/09/2020
Efficient End-to-End Speech Recognition Using Performers in Conformers
On-device end-to-end speech recognition poses a high requirement on mode...
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11/03/2020
Complex ratio masking for singing voice separation
Music source separation is important for applications such as karaoke an...
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10/23/2020
Dual-path Self-Attention RNN for Real-Time Speech Enhancement
We propose a dual-path self-attention recurrent neural network (DP-SARNN...
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10/20/2020
Speaker Separation Using Speaker Inventories and Estimated Speech
We propose speaker separation using speaker inventories and estimated sp...
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10/04/2020
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation
We propose multi-microphone complex spectral mapping, a simple way of ap...
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09/03/2020
Dense CNN with Self-Attention for Time-Domain Speech Enhancement
Speech enhancement in the time domain is becoming increasingly popular i...
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05/13/2020
Towards Interpretable Deep Learning Models for Knowledge Tracing
As an important technique for modeling the knowledge states of learners,...
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03/04/2020
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation
This study proposes a multi-microphone complex spectral mapping approach...
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02/10/2020
On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement
In recent years, supervised approaches using deep neural networks (DNNs)...
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04/25/2019
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
We address talker-independent monaural speaker separation from the persp...
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03/11/2019
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
Monaural speech enhancement has made dramatic advances since the introdu...
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11/22/2018
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
This study investigates phase reconstruction for deep learning based mon...
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04/26/2018
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
This paper proposes an end-to-end approach for single-channel speaker-in...
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08/24/2017
Supervised Speech Separation Based on Deep Learning: An Overview
Speech separation is the task of separating target speech from backgroun...
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12/14/2016
Incorporating Language Level Information into Acoustic Models
This paper proposed a class of novel Deep Recurrent Neural Networks whic...
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12/14/2016