TY - GEN
T1 - Independent Vector Analysis Assisted Adaptive Beamfomring for Speech Source Separation with an Acoustic Vector Sensor
AU - Yang, Yichen
AU - Wang, Xianrui
AU - Zhang, Wen
AU - Chen, Jingdong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Acoustic vector sensor (AVS), as a compact sensor with the capability of forming a frequency-invariant spatial beampattern over the 3D space, has potential in source separation. A straightforward way to achieve source separation with AVS is through adaptive beamforming. Such a method requires the direction-of-arrival (DOA) information, which is challenging to estimate accurately in reverberant environments. To circumvent this issue, we present a framework jointly implementing adaptive beamforming and independent vector analysis (IVA). Different from the conventional beamforming, the presented method only require rough DOA estimation for initialization. It iteratively refines the estimates of source DOA and signal statistics. The proposed method has great advantages of improving source separation performance and enhancing DOA estimation accuracy. Simulations demonstrate the properties of the developed method.
AB - Acoustic vector sensor (AVS), as a compact sensor with the capability of forming a frequency-invariant spatial beampattern over the 3D space, has potential in source separation. A straightforward way to achieve source separation with AVS is through adaptive beamforming. Such a method requires the direction-of-arrival (DOA) information, which is challenging to estimate accurately in reverberant environments. To circumvent this issue, we present a framework jointly implementing adaptive beamforming and independent vector analysis (IVA). Different from the conventional beamforming, the presented method only require rough DOA estimation for initialization. It iteratively refines the estimates of source DOA and signal statistics. The proposed method has great advantages of improving source separation performance and enhancing DOA estimation accuracy. Simulations demonstrate the properties of the developed method.
KW - acoustic vector sensor
KW - Adaptive beamforming
KW - independent vector analysis
UR - https://www.scopus.com/pages/publications/85141363442
U2 - 10.1109/IWAENC53105.2022.9914741
DO - 10.1109/IWAENC53105.2022.9914741
M3 - 会议稿件
AN - SCOPUS:85141363442
T3 - International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings
BT - International Workshop on Acoustic Signal Enhancement, IWAENC 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Workshop on Acoustic Signal Enhancement, IWAENC 2022
Y2 - 5 September 2022 through 8 September 2022
ER -