Speaker Identification with Whispered Speech for the Access Control System

Jia Ching Wang, Yu Hao Chin, Wen Chi Hsieh, Chang Hong Lin, Ying Ren Chen, Ernestasia Siahaan

研究成果: 雜誌貢獻期刊論文同行評審

17 引文 斯高帕斯(Scopus)

摘要

This work presents an access control system, which is a speaker identification system based on whispered speech. Speaker identification is a main function of an access control system. Hence, a novel speaker identification system using instantaneous frequencies is proposed. The input speech signals pass through both signal independent and signal dependent filters firstly. Then, we derive the signal's instantaneous frequencies by applying the Hilbert transform. The analyzed instantaneous frequencies are proceeded to be modeled as probability density models. We use these probability density models as the feature in the proposed speaker identification system. In this work, we compare the use of parametric and nonparametric probability density estimation for instantaneous frequency modeling. Furthermore, we propose an approximated probability product kernel support vector machine (APPKSVM). In the APPKSVM, Riemann sum is applied in approximating the probability product kernel. The whisper sounds from the CHAIN speech corpus were used in the experiments. Results of the experiments show the superiority of the proposed speaker identification system.

原文???core.languages.en_GB???
文章編號7229351
頁(從 - 到)1191-1199
頁數9
期刊IEEE Transactions on Automation Science and Engineering
12
發行號4
DOIs
出版狀態已出版 - 10月 2015

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