2021
DOI: 10.1121/10.0003547
|View full text |Cite
|
Sign up to set email alerts
|

Robust direction-of-arrival estimation for a target speaker based on multi-task U-net based direct-path dominance test

Abstract: A dedicated multi-task network for a direct-path dominance test has been proposed recently, based on which the robustness of the direction-of-arrival estimation for a target speaker tends to be significantly improved. In this Letter, the network is further refined to avoid the original two-stage processing. Moreover, the benefit and generalization of the multi-task network are confirmed by comparison with a single-task network on a significantly larger database. The efficacy of the proposed method in high nois… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…The expectation of lnπ k and ln(1 − π k ) can be given as (16) where (•) denotes the digamma function.…”
Section: Doa Estimation Model With Gmm Noisementioning
confidence: 99%
See 1 more Smart Citation
“…The expectation of lnπ k and ln(1 − π k ) can be given as (16) where (•) denotes the digamma function.…”
Section: Doa Estimation Model With Gmm Noisementioning
confidence: 99%
“…Some studies included non-line-of-sight (NLOS) components within the cascaded channels of reconfigurable intelligent surfaces (RIS), and together with sensor noise, classified them as white noise [13,14]. Likewise, in scenarios based on acoustic signals [15,16], researchers categorized both reverberation and sensor noise as white noise. In variable inference, SBLRV and CGDP-SBL2 update variables using expectation maximization (EM), where EM, compared to mean field (MF) [17] utilized in OGSBI, lacks variance information, reducing estimation accuracy.…”
mentioning
confidence: 99%