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
2006-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
