This paper outlines a new method to extract F0 from distant talking speech signals acquired by a microphone network, which exploits the redundancy across the signals proceeding from each microphone, by jointly processing the different contributes. To this purpose, a multi-microphone periodicity function is derived from the magnitude spectrum computed on each microphone signal. This function allows to estimate F0 reliably, even under reverberant conditions, without the need of any post-processing or smoothing technique. Experiments, conducted on real lectures, showed that the proposed frequency-domain algorithm is more suitable than other time-domain based ones.

Multi-microphone Periodicity Function for Robust F0 Estimation in Real Noisy and Reverberant Environments

Flego, Federico;Omologo, Maurizio
2006

Abstract

This paper outlines a new method to extract F0 from distant talking speech signals acquired by a microphone network, which exploits the redundancy across the signals proceeding from each microphone, by jointly processing the different contributes. To this purpose, a multi-microphone periodicity function is derived from the magnitude spectrum computed on each microphone signal. This function allows to estimate F0 reliably, even under reverberant conditions, without the need of any post-processing or smoothing technique. Experiments, conducted on real lectures, showed that the proposed frequency-domain algorithm is more suitable than other time-domain based ones.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/29711
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