Title :
Likability of human voices: A feature analysis and a neural network regression approach to automatic likability estimation
Author :
Eyben, Florian ; Weninger, Felix ; Marchi, Erik ; Schuller, Bjorn
Author_Institution :
Machine Intell. & Signal Process. Group, Tech. Univ. Munchen, Munich, Germany
Abstract :
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.
Keywords :
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; Acoustics; Correlation; Databases; Speech; Standards; Superluminescent diodes; Training;
Conference_Titel :
Image Analysis for Multimedia Interactive Services (WIAMIS), 2013 14th International Workshop on
Conference_Location :
Paris
DOI :
10.1109/WIAMIS.2013.6616159
