An Analysis of the Influence of Acoustical Adverse Conditions on Speaker Gender Identification

被引：0
|
作者：
Maka, Tomasz [1 ]
Dziurzanski, Piotr [1 ]
机构：
[1] West Pomeranian Univ Technol, Fac Comp Sci & Informat Technol, PL-71210 Szczecin, Poland
来源：
2014 XXII ANNUAL PACIFIC VOICE CONFERENCE (PVC) | 2014年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Speaker gender as a biometric feature plays an important role in numerous voice-based services. In this work we perform an accuracy analysis of a gender recognition system in different acoustical environments (indoor and outdoor auditory scenes). At the evaluation stage, each sentence has been mixed with several types of background noise using various signal-to-noise ratio levels. Then a voiced parts of speech have been extracted and parametrized using features based on filter banks and vocal-tract properties. The obtained feature trajectories have been non-linearly smoothed in order to minimize the influence of adverse conditions on the spoken sentences. The observed accuracy is acceptable for voice-based tasks where the gender information can improve their performance.
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页数：4
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