Multichannel DYPSA for estimation of glottal closure instants in reverberant speech

Identification of glottal closure instants (GCIs) is important in speech applications which benefit from larynx-synchronous processing. In modern telecommunication applications, speech signals are often obtained inside office rooms, with one or more microphones placed at a distance from the talker. Such speech signals are affected by reverberation due to the reflections from surrounding walls and objects, which distort the observed speech signals and degrade the performance of speech processing algorithms. This paper presents a study of the identifiability of GCIs from reverberant speech using the Dynamic Programming Projected Phase-Slope Algorithm (DYPSA) and new extensions to the multimicrophone case. Two multichannel algorithms are proposed and evaluated; in both cases, considerable performance gains over a single microphone are obtained, with detection rates improved by up to 29% in highly reverberant environments.