A novel method to represent speech signals

Authors:
Rafet Akdeniz;Siddik Yarman
Affiliations:
Department of Electronics and Telecommunication, Çorlu Engineering Faculty, Trakya University, 59860, Çorlu-Tekirdaǧ, Turkey;Department of Electrical Engineering, Engineering Faculty, Işik University, 34398 Maslak, Istanbul, Turkey
Venue:
Signal Processing - Content-based image and video retrieval
Year:
2005

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Abstract

In this work, speech signals are modeled by means of the so-called pre-defined "signature functions". The pre-defined signature functions are generated using the statistical properties of the speech signals. It has been exhibited that, with a few basic signature functions, any speech signal can be generated within a tolerable error.