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

Deleforge A, Gannot S, Kellermann W (2015)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 419-423

Article Number: 7362417

Event location: Nice FR

ISBN: 978-0-9928-6263-3

DOI: 10.1109/EUSIPCO.2015.7362417

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.

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How to cite

APA:

Deleforge, A., Gannot, S., & Kellermann, W. (2015). Towards a generalization of relative transfer functions to more than one source. In Proceedings of the 23rd European Signal Processing Conference (EUSIPCO) (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), Nice Institute of Electrical and Electronics Engineers Inc., 2015. 419-423.

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