Blind speech separation by integrating three pairs of Phase Differences of equilateral triangular microphone array

Blind source separation (BSS) is an approach to extract source signals using observed their mixtures. It is applicable in realizing speech-based human-machine interface systems, such as hands-free phones and robot audition system. This paper proposes the Time-Frequency (T-F) masking method for unilateral triangular microphone array. It is based on the condition of three pairs of Phase Difference versus Frequency (PD-F) distributions in frame-by-frame manner. By integrating these PD-F data, we can estimate more reliable T-F cell feature and will obtain better separation result. The constraints on delays between three pairs of triangular microphone array are applied to the PD-F distributions. Some experiments are performed to verify our method. Section 5 is the conclusion.