The use of harmonic features in speaker recognition

被引：0
|
作者：
Imperl, B
Kacic, Z
Horvat, B
机构：
来源：
1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS | 1997年
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D O I：
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中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper the Harmonic features based on the harmonic decomposition of the Hildebrand - Prony line spectrum are introduced. A Hildebrand - Prony method of spectral analysis was applied because of its high resolution and accuracy. Comparative tests with the LP and LP - cepstral features were made with 50 speakers from the Slovene database SNABI (isolated words corpus) and 50 speakers of the German database BAS Siemens 100 (utterances of sentences). With both databases the advantages of the Harmonic features were noticed especially for the speaker identification while for the speaker verification the Harmonic features have performed better on the SNABI database and as good as the LP cepstral features on the BAS Siemens 100 database.
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页码：1131 / 1134
页数：4
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