Deep learning microphone array speech enhancement for multiple speaker separation
With the increase of human-computer voice interaction scenes in recent years, using microphone array speech enhancement to improve speech quality has become one of the research hotspots. Different from the ambient noise, the interfering speaker′s speech and the target speaker are the same speech sig...
Saved in:
| Main Authors: | Zhang Jiayang, Tong Feng, Chen Dongsheng, Huang Huixiang |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2022-05-01
|
| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000149429 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance Analysis of MVDR Beamformer Applied on an End-fire Microphone Array Composed of Unidirectional Microphones
by: Zoran ŠARIĆ, et al.
Published: (2021-12-01) -
Comparative analysis and selection of the geometry of the microphone array based on MEMS microphones for sound localisation
by: Andrii Riabko, et al.
Published: (2025-02-01) -
An Influence of Directional Microphones on the Speech Intelligibility and Spatial Perception by Cochlear Implant Users
by: Monika KORDUS, et al.
Published: (2015-03-01) -
TSNetIQ: High-Resolution DOA Estimation of UAVs Using Microphone Arrays
by: Kequan Zhu, et al.
Published: (2025-08-01) -
A Planer Moving Microphone Array for Sound Source Localization
by: Chuyang Wang, et al.
Published: (2025-06-01)