Likability of human voices: A feature analysis and a neural network regression approach to automatic likability estimation
Image Analysis for Multimedia Interactive Services（2013）
摘要
Recently, the automatic analysis of likability of a voice has become popular. This work follows up on our original work in this field and provides an in-depth discussion of the matter and an analysis of the acoustic parameters. We investigate the automatic analysis of voice likability in a continuous label space with neural networks as regressors and discuss the relevance of acoustic features. We provide results on the Speaker Likability Database for comparison with previous work and a subset of the TIMIT database for validation.
更多查看译文
关键词
acoustic signal processing,feature extraction,neural nets,regression analysis,speaker recognition,speech processing,TIMIT database,acoustic features,acoustic parameters,automatic analysis,automatic likability estimation,continuous label space,feature analysis,human voices,neural network regression,speaker likability database,voice likability
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要