This paper addresses the source-filter separation problem in the context of causal/anticausal linear filter model of voice production: An algorithm based on standard signal processing tools is proposed for the class of quasi-periodic signals (voiced sounds with quasi-stationary pitch). At first, a one-period frame of an equivalent stationary infinitely periodic signal is built. A particular attention is given to the problems of windowing and temporal aliasing. Secondly, an exact pole decomposition of this signal is computed within the class of To-periodic signals. Finally, the glottal closure instant (GCI) and the causal-anticausal factorization of the initial frame are jointly estimated from the latter decomposition. The performance of this algo-rithm on synthetic signals is demonstrated and the performance on real speech is discussed. In conclusion, application of this new algorithm in a complete voice analysis-synthesis system is discussed.
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