Evaluation of Zero Frequency Filtering based Method for Multi-pitch Streaming of Concurrent Speech Signals

Abstract

Multiple pitch streaming from a mixture is a challenging problem for signal processing and especially for speech separation. In this paper, we use a Zero frequency filtering (ZFF) based new system to stream pitch of multiple concurrent speakers. We propose a workflow to estimate pitch values of all sources in each single frame then streaming them into trajectories, each corresponding to a distinct source. The method consists of detecting and localizing the involved speakers in a mixture, followed by a ZFF based approach where involved speakers’ pitches are iteratively streamed from the observed mixture. The robustness of the proposed system is tested over two, and three overlapping speech mixtures collected in reverberant environment. The results indicate that our proposal brings ZFF to a competitive level with another recently proposed streaming approach.