The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 53-630
Full Name: Oldrich Horak
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: University of Pardubice, Studentska 84, 532 10 Pardubice
Country: CZECH REPUBLIC
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E-mail address: oldrich.horak@upce.cz
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Title of the Paper: The Voice Segment Type Determination using the Autocorrelation Compared to Cepstral Method
Authors as they appear in the Paper: Oldrich Horak
Email addresses of all the authors: oldrich.horak@upce.cz
Number of paper pages: 10
Abstract: The extraction of the characteristic features of the speech is the important task in the speaker recognition process. One of the basic features is fundamental frequency of speaker's voice, which can be extracted from the voiced segment of the speech signal. This document describes one of the methods providing possibility to distinguish the voiced and surd segments of the voice signal using the autocorrelation, and compare the results to cepstral method.
Keywords: Autocorrelation, Cepstrum, Features extraction, Fundamental frequency, Signal processing, Speaker recognition, Voice signal
EXTENSION of the file: .pdf
Special (Invited) Session: Image Processing and 2-D / 3-D Systems
Organizer of the Session: Prof. Richard Choras, Prof. Nikos E. Mastorakis, Prof. Valeri Mladenov
How Did you learn about congress: Optimization problems in signal processing, Detection, Statistical signal analysis, Speaker recognition
IP ADDRESS: 193.179.22.195
