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
Taipei, Taiwan


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.

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