Xianrui Wang

Xianrui Wang
Northwestern Polytechnical University | NWPU · Center of Intelligent Acoustics and Immersive Communications

ph. D. candidate
Looking for internship about speech enhancement

About

10
Publications
1,554
Reads
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33
Citations
Additional affiliations
March 2023 - present
Waseda University
Position
  • Visiting research fellow
November 2022 - November 2024
Friedrich-Alexander-Universität Erlangen-Nürnberg
Position
  • PhD Student
November 2020 - June 2021
Huawei Technologies
Position
  • Researcher
Description
  • Speech enhancement with acoustic vector sensors
Education
September 2019 - September 2026
Northwestern Polytechnical University
Field of study
  • Speech/Music signal processing
September 2015 - July 2019
Northwestern Polytechnical University
Field of study
  • Control theory

Publications

Publications (10)
Article
Full-text available
While the semi-blind source separation-based acoustic echo cancellation (SBSS-AEC) has received much research attention due to its promising performance during double-talk compared to the traditional adaptive algorithms, it suffers from system latency and non-linear distortions. To circumvent these drawbacks, the recently developed ideas on convolu...
Conference Paper
Full-text available
Stereophonic music source separation (MSS) is a problem of extracting individual source tracks, e.g. bass, drums, vocals, from a stereo music recording. Deep neural network (DNN) based MSS systems have demonstrated great promise though spatial panning cues and time-frequency spectral structures in stereo music have not yet been fully explored in su...
Preprint
Full-text available
While the semi-blind source separation-based acoustic echo cancellation (SBSS-AEC) has received much research attention due to its promising performance during double-talk compared to the traditional adaptive algorithms, it suffers from system latency and non-linear distortions. To circumvent these drawbacks, the recently developed ideas on convolu...
Conference Paper
Full-text available
Spatial information can help improve source separation performance. Numerous spatially informed source extraction methods based on the independent vector analysis (IVA) have been developed, which can achieve reasonably good performance in non-or weakly reverberant environments. However, the performance of those methods degrades quickly as the rever...
Conference Paper
Full-text available
This paper studies the problem of target speaker signal exaction and antiphasic rendering with an array of microphones in the scenarios where there are two active speakers. Based on the important findings achieved in the psychoacoustic field as well as our recent works on single-channel speech enhancement, we present a rendering based approach in w...
Article
Full-text available
Time difference of arrival (TDOA) estimation, which often serves as the fundamental step for a source localization or a beamforming system, has a significant practical importance in a wide spectrum of applications. To deal with reverberation, the TDOA estimation problem is often transformed into one of identifying the relative acoustic impulse resp...

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