Speaker Identification Using Pseudo Pitch Synchronized Phase Information in Voiced Sound

In conventional speaker identification methods based on mel-frequency cepstral coefficients (MFCCs), phase information is ignored. Our recent studies have shown that phase information contains speaker dependent characteristics. We propose a new extraction method to extract pitch synchronous phase information from the voiced section only. Speaker identification experiments were performed using the NTT clean database and JNAS database. Using the new phase extraction method, we obtained a relative reduction in the speaker error rate of approximately 27% and 46%, respectively, for the two databases. We also obtained a relative error reduction of approximately 52% and 42%, respectively, when combining phase information with the MFCC-based method.