Towards a generalization of relative transfer functions to more than one source

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Deleforge A, Gannot S, Kellermann W
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2015
Pages range: 419-423
ISBN: 9780992862633


Abstract


We propose a natural way to generalize relative transfer functions (RTFs) to more than one source. We first prove that such a generalization is not possible using a single multichannel spectro-temporal observation, regardless of the number of microphones. We then introduce a new transform for multichannel multi-frame spectrograms, i.e., containing several channels and time frames in each time-frequency bin. This transform allows a natural generalization which satisfies the three key properties of RTFs, namely, they can be directly estimated from observed signals, they capture spatial properties of the sources and they do not depend on emitted signals. Through simulated experiments, we show how this new method can localize multiple simultaneously active sound sources using short spectro-temporal windows, without relying on source separation.



FAU Authors / FAU Editors

Deleforge, Antoine
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Deleforge, A., Gannot, S., & Kellermann, W. (2015). Towards a generalization of relative transfer functions to more than one source. (pp. 419-423). Nice, FR: Institute of Electrical and Electronics Engineers Inc..

MLA:
Deleforge, Antoine, Sharon Gannot, and Walter Kellermann. "Towards a generalization of relative transfer functions to more than one source." Proceedings of the 23rd European Signal Processing Conference, EUSIPCO 2015, Nice Institute of Electrical and Electronics Engineers Inc., 2015. 419-423.

BibTeX: 

Last updated on 2018-19-04 at 03:35