Zhong-Qiu Wang | DeepAI

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∙ 09/15/2023

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction

Previous Multimodal Information based Speech Processing (MISP) challenge...

0 Shilong Wu, et al. ∙

∙ 07/23/2023

Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation

Neural speech separation has made remarkable progress and its integratio...

0 Yoshiki Masuyama, et al. ∙

∙ 06/23/2023

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

The CHiME challenges have played a significant role in the development a...

0 Samuele Cornell, et al. ∙

∙ 05/31/2023

UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures

In reverberant conditions with multiple concurrent speakers, each microp...

0 Zhong-Qiu Wang, et al. ∙

∙ 04/18/2023

Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling

We propose FSB-LSTM, a novel long short-term memory (LSTM) based archite...

0 Zhong-Qiu Wang, et al. ∙

∙ 02/15/2023

Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge

This paper describes our submission to the Second Clarity Enhancement Ch...

0 Samuele Cornell, et al. ∙

∙ 12/14/2022

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks

Emulating the human ability to solve the cocktail party problem, i.e., f...

0 Darius Petermann, et al. ∙

∙ 11/22/2022

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

We propose TF-GridNet for speech separation. The model is a novel multi-...

0 Zhong-Qiu Wang, et al. ∙

∙ 09/08/2022

TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation

We propose TF-GridNet, a novel multi-path deep neural network (DNN) oper...

0 Zhong-Qiu Wang, et al. ∙

∙ 07/19/2022

ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding

This paper presents recent progress on integrating speech separation and...

0 Yen-Ju Lu, et al. ∙

∙ 04/21/2022

STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency

Deep learning based speech enhancement in the short-term Fourier transfo...

0 Zhong-Qiu Wang, et al. ∙

∙ 04/15/2022

Improving Frame-Online Neural Speech Enhancement with Overlapped-Frame Prediction

Frame-online speech enhancement systems in the short-time Fourier transf...

0 Zhong-Qiu Wang, et al. ∙

∙ 03/08/2022

Locate This, Not That: Class-Conditioned Sound Event DOA Estimation

Existing systems for sound event localization and detection (SELD) typic...

0 Olga Slizovskaia, et al. ∙

∙ 02/24/2022

Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge

This paper describes our submission to the L3DAS22 Challenge Task 1, whi...

0 Yen-Ju Lu, et al. ∙

∙ 02/10/2022

Conditional Diffusion Probabilistic Model for Speech Enhancement

Speech enhancement is a critical component of many user-oriented audio a...

0 Yen-Ju Lu, et al. ∙

∙ 10/19/2021

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks

The cocktail party problem aims at isolating any source of interest with...

0 Darius Petermann, et al. ∙

∙ 10/01/2021

Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement

A promising approach for multi-microphone speech separation involves two...

0 Zhong-Qiu Wang, et al. ∙

∙ 08/16/2021

Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation

A promising approach for speech dereverberation is based on supervised l...

0 Zhong-Qiu Wang, et al. ∙

∙ 08/16/2021

Convolutive Prediction for Reverberant Speech Separation

We investigate the effectiveness of convolutive prediction, a novel form...

0 Zhong-Qiu Wang, et al. ∙

∙ 08/11/2021

On The Compensation Between Magnitude and Phase in Speech Separation

Deep neural network (DNN) based end-to-end optimization in the complex t...

0 Zhong-Qiu Wang, et al. ∙

∙ 07/14/2021

Localization Based Sequential Grouping for Continuous Speech Separation

This study investigates robust speaker localization for con-tinuous spee...

0 Zhong-Qiu Wang, et al. ∙

∙ 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...

0 Zhong-Qiu Wang, et al. ∙

∙ 03/04/2020

Multi-Microphone Complex Spectral Mapping for Speech Dereverberation

This study proposes a multi-microphone complex spectral mapping approach...

0 Zhong-Qiu Wang, et al. ∙

∙ 11/18/2019

Alternating Between Spectral and Spatial Estimation for Speech Separation and Enhancement

This work investigates alternation between spectral separation using mas...

0 Zhong-Qiu Wang, et al. ∙

∙ 11/22/2018

Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective

This study investigates phase reconstruction for deep learning based mon...

0 Zhong-Qiu Wang, et al. ∙

∙ 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...

0 Zhong-Qiu Wang, et al. ∙

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