A Method for Rapid Pitch-Based Speaker Segmentation (RPSS)

Audio Segmentation has got a widespread application in underwater signal processing specially observation of passing objects using their acoustic signals and also in audio annotation of a recorded meeting, which also used by intelligence services that is one of instances of passive defense.Audio Segmentation is the process of partitioning an audio stream into regions each of which corresponds to only one audio source or one speaker.There are various methods for speaker segmentation the most common methods of which are based on BIC criteria. These methods needs heavy statistical computations and are very time consuming.The main goal of this paper is to propose a new audio segmentation method based on pith frequency with acceptable accuracy along with a higher computation speed than BIC-based methods. This algorithm is about 2.4 times faster than the BIC-based segmentation an about %1 higher than that of the BIC-based method in accuracy.