Abstract
We propose a two-stage algorithm for the estimation of direction-of-arrival (DOA) of speech signals in a multi-source environment under the assumption that the source signals are sparse in the time-frequency (TF) domain. The signals are first separated, in each frequency bin, from their mixtures via time-frequency masking. The generalized cross-correlation method is subsequently used in the second stage to simultaneously estimate the source directions. The proposed algorithm does not require one to solve the permutation problem and is suitable even for under-determined cases where the number of source signals is greater than the number of sensors.
Original language | English |
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Title of host publication | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 86-90 |
Number of pages | 5 |
ISBN (Electronic) | 9781538681510 |
DOIs | |
Publication status | Published - Nov 2 2018 |
Externally published | Yes |
Event | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Tokyo, Japan Duration: Sept 17 2018 → Sept 20 2018 |
Publication series
Name | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings |
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Conference
Conference | 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 |
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Country/Territory | Japan |
City | Tokyo |
Period | 9/17/18 → 9/20/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus Subject Areas
- Signal Processing
- Acoustics and Ultrasonics
Keywords
- Blind source separation
- Direction of arrival estimation
- Time-frequency masking