Abstract
This paper presents an unsupervised multi-source localization algorithm using a recently introduced feature called the relative harmonic coefficients. We derive a closed-form expression of the feature and briefly summarize its unique properties. We then exploit this feature to develop a single-source frame/bin detector which simplifies the challenging problem of multiple source localization into a single source localization problem. We show that the underlying method is suitable for localization using overlapped, disjoint as well as simultaneous multi-source recordings. Experimental results in both simulated and real-life reverberant environments confirm improved localization accuracy of the proposed method in comparison with the existing state-of-art approach.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 571-575 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509066315 |
| DOIs | |
| State | Published - May 2020 |
| Event | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Barcelona, Spain Duration: 4 May 2020 → 8 May 2020 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 2020-May |
| ISSN (Print) | 1520-6149 |
Conference
| Conference | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 4/05/20 → 8/05/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Funding
∗Yonggang Hu is sponsored by CSC agency for funding.
| Funders | Funder number |
|---|---|
| China Scholarship Council |
Keywords
- Unsupervised multiple source localization
- relative harmonic coefficients
- single-source frame/bin detector.