Abstract
| Original language | English |
|---|---|
| Journal | I E E E Transactions on Audio, Speech and Language Processing |
| Volume | 23 |
| Issue number | 1 |
| Pages (from-to) | 174-185 |
| Number of pages | 12 |
| ISSN | 1558-7916 |
| DOIs | |
| Publication status | Published - Jan 2015 |
Fingerprint
Keywords
- Fundamental frequency estimation
- DOA estimation
- joint estimation
- 2-D filtering
- LCMV beamformer
- periodogram-based beamformer
Cite this
}
Joint Spatio-Temporal Filtering Methods for DOA and Fundamental Frequency Estimation. / Jensen, Jesper Rindom; Christensen, Mads Græsbøll; Benesty, Jacob; Jensen, Søren Holdt.
In: I E E E Transactions on Audio, Speech and Language Processing, Vol. 23, No. 1, 01.2015, p. 174-185.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Joint Spatio-Temporal Filtering Methods for DOA and Fundamental Frequency Estimation
AU - Jensen, Jesper Rindom
AU - Christensen, Mads Græsbøll
AU - Benesty, Jacob
AU - Jensen, Søren Holdt
PY - 2015/1
Y1 - 2015/1
N2 - In this paper, spatio-temporal filtering methods are proposed for estimating the direction-of-arrival (DOA) and fundamental frequency of periodic signals, like those produced by the speech production system and many musical instruments using microphone arrays. This topic has quite recently received some attention in the community and is quite promising for several applications. The proposed methods are based on optimal, adaptive filters that leave the desired signal, having a certain DOA and fundamental frequency, undistorted and suppress everything else. The filtering methods simultaneously operate in space and time, whereby it is possible resolve cases that are otherwise problematic for pitch estimators or DOA estimators based on beamforming. Several special cases and improvements are considered, including a method for estimating the covariance matrix based on the recently proposed iterative adaptive approach (IAA). Experiments demonstrate the improved performance of the proposed methods under adverse conditions compared to the state of the art using both synthetic signals and real signals, as well as illustrate the properties of the methods and the filters.
AB - In this paper, spatio-temporal filtering methods are proposed for estimating the direction-of-arrival (DOA) and fundamental frequency of periodic signals, like those produced by the speech production system and many musical instruments using microphone arrays. This topic has quite recently received some attention in the community and is quite promising for several applications. The proposed methods are based on optimal, adaptive filters that leave the desired signal, having a certain DOA and fundamental frequency, undistorted and suppress everything else. The filtering methods simultaneously operate in space and time, whereby it is possible resolve cases that are otherwise problematic for pitch estimators or DOA estimators based on beamforming. Several special cases and improvements are considered, including a method for estimating the covariance matrix based on the recently proposed iterative adaptive approach (IAA). Experiments demonstrate the improved performance of the proposed methods under adverse conditions compared to the state of the art using both synthetic signals and real signals, as well as illustrate the properties of the methods and the filters.
KW - fundamental frequency estimation
KW - DOA estimation
KW - joint estimation
KW - 2-D filtering
KW - LCMV beamformer
KW - periodogram-based beamformer
KW - Fundamental frequency estimation
KW - DOA estimation
KW - joint estimation
KW - 2-D filtering
KW - LCMV beamformer
KW - periodogram-based beamformer
U2 - 10.1109/TASLP.2014.2377583
DO - 10.1109/TASLP.2014.2377583
M3 - Journal article
VL - 23
SP - 174
EP - 185
JO - IEEE/ACM Transactions on Audio, Speech, and Language Processing
JF - IEEE/ACM Transactions on Audio, Speech, and Language Processing
SN - 2329-9290
IS - 1
ER -