Speech Signal Processing

Title Multi-microphone maximum a posteriori fundamental frequency estimation in the cepstral domain
Authors Timo Gerkmann, Rainer Martin, Derya Dalga
Conference Int. Conf. Acoustics, Speech, Signal Processing (ICASSP)
Organization IEEE
Date Apr. 2009
Place
Taipei, Taiwan


Abstract

In this work we derive a new cepstrum based maximum likelihood fundamental frequency estimator that exploits the information of multiple microphones. The new approach results in a maximum search on the sum of the microphone cepstra. We compare the new approach to a maximum search on the cepstrum of the output signal of a delay-and-sum beamformer. We show that the new approach outperforms the beamforming approach for all considered input signal-to-noise ratios. We develop a general framework which includes the cepstral harmonics of the fundamental frequency and extend the approach towards a maximum a posteriori fundamental period tracker that further enhances the results and increases the robustness in noisy environments.

Copyright Notice

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

The following notice applies to all IEEE publications:
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

[Download]