Presentation 1996/2/23
Text-Independent Speaker Identification Using pitch Information
Rieko Matsumura, Toshio Okamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, text-independent speaker identification using vocal tract and pitch information is discussed. We have taken notice of the vowel because it makes identification of a speaker independent of the spoken text. We have used a set of descriminant functions to extract the vowel from a text spoken, and calculate the FFT cepstrum, the LPC cepstrum and the pitch of the vowel. The results of some experiments are summarized as follows. 1)The average accuracy of the identification using FFT cepstrum and pitch information is 84.3% and using LPC cepstrum and pitch information is 81.7%. 2)The text length required to identify the speaker is about 3 or 4 seconds.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) speaker identification / pitch information / text-independent / descriminant function
Paper # SP95-133
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Conference Information
Committee SP
Conference Date 1996/2/23(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Text-Independent Speaker Identification Using pitch Information
Sub Title (in English)
Keyword(1) speaker identification
Keyword(2) pitch information
Keyword(3) text-independent
Keyword(4) descriminant function
1st Author's Name Rieko Matsumura
1st Author's Affiliation The Graduate School of Information Systems, University of Electro-Communications()
2nd Author's Name Toshio Okamoto
2nd Author's Affiliation The Graduate School of Information Systems, University of Electro-Communications
Date 1996/2/23
Paper # SP95-133
Volume (vol) vol.95
Number (no) 534
Page pp.pp.-
#Pages 8
Date of Issue