Forensic Speaker Identification Using Speech Quality Data

被引：0

作者：

Pop, Gheorghe ^{[1
]}

Mihalache, Serban ^{[1
]}

Burileanu, Dragos ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Speech & Dialogue Res Lab, Bucharest, Romania

来源：

2018 12TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM) | 2018年

关键词：

quality-based speaker features; forensic automatic speaker recognition; Gaussian mixture models;

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：

The performance of speaker recognition systems based on Gaussian mixture models is often impaired both by the low quality and by the short duration of test speech samples. In literature, a large number of best material selection criteria were described, suitable for the scoring stage in forensic automatic speaker recognition systems. An application of quality-based speaker features is described in the present paper which outperforms forensic speaker recognition systems that assume uniform quality of speech during model training and scoring.

引用

页码：509 / 512

页数：4

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