Blind DOA Estimation in a Reverberant Environment Based on Hybrid Initialized Multichannel Deep 2-D Convolutional NMF With Feedback Mechanism

Blind DOA Estimation in a Reverberant Environment Based on Hybrid Initialized Multichannel Deep 2-D Convolutional NMF With Feedback Mechanism

The accuracy performance of traditional direction of arrival (DOA) estimation algorithms is seriously affected by the reverberation. Considering the advantage of the sparse characteristic of speech signal in time-frequency (T-F) domain, this paper presents a new blind DOA estimation method based on...

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Bibliographic Details
Main Authors: Qiang Fu, Bo Jing, Pengju He
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Blind DOA estimation
speech dereverberation
array signal processing
convolutional non-negative matrix factorization (CNMF)
depth extraction
feedback mechanism
Online Access:https://ieeexplore.ieee.org/document/8932524/

Internet

https://ieeexplore.ieee.org/document/8932524/

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