Performance of Phase-Space Voicing-State Classification for Co-Channel Speech

Abstract

This paper discusses the performance of a classification algorithm that is capable of determining the voicing-state of co-channel speech. The algorithm uses some features of the reconstructed phase-space of the speech data as a measure to identify the three voicing-states of co-channel speech; unvoiced/unvoiced (U/U), voiced/unvoiced (V/U), and voiced/voiced (V/V). The proposed method requires neither a priori information nor speech training data. Nonetheless, simulation results show enhanced performance in identifying the three voicing-states compared to other existing techniques. The algorithm also shows a reliable performance for different SIR values as well as different levels of background noise