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Publication Type : Conference Paper
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : 2014 International Conference on Signal Processing and Communications, SPCOM 2014
Source : International Conference on Signal Processing and Communications, SPCOM 2014
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN)
Verified : Yes
Year : 2014
Abstract : The objective of the present work is to propose an automatic polarity detection algorithm for speech or electro-glottogram (EGG) using the phase information obtained from the complex analytic signals. The analytic signals (sa(n)) are the complex time representation of the given signal derived using the Hilbert transform. The polarity of the signal is determined from the nature of the slope in the cosine phase of sa(n) corresponding to the peaks in the magnitude of sa(n) (Hilbert envelope). The effectiveness of the proposed algorithm is evaluated for speech and EGG utterances of CMU-Arctic database and German emotional speech database (Emo-DB). Also, the performance of the proposed method is found to be comparable with the recently proposed polarity detection algorithm based on residual excitation skewness. © 2014 IEEE.