Age and Gender Classification using Fusion of Acoustic and Prosodic Features

被引：0
|
作者：
Meinedo, Hugo [1 ]
Trancoso, Isabel [1 ]
机构：
[1] INESC ID Lisboa, Spoken Language Syst Lab L2F, Lisbon, Portugal
来源：
11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 3 AND 4 | 2010年
关键词：
Paralinguistic Challenge; Age; Gender; Fusion of Acoustic and Prosodic Features; SPEECH;
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：
This paper presents a description of the INESC-ID Spoken Language Systems Laboratory (L2F) Age and Gender classification system submitted to the INTERSPEECH 2010 Paralinguistic Challenge. The L2F Age classification system and the Gender classification system are composed respectively by the fusion of four and six individual sub-systems trained with short and long term acoustic and prosodic features, different classification strategies (GMM-UBM, MLP and SVM) and using four different speech corpora. The best results obtained by the calibration and linear logistic regression fusion back-end show an absolute improvement of 4.1% on the unweighted accuracy value for the Age and 5.8% for the Gender when compared to the competition baseline systems in the development set.
引用
收藏
页码：2822 / 2825
页数：4
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