The Relevance of Voice Quality Features in Speaker Independent Emotion Recognition

Abstract

This paper investigates the classification of different emotional states using presodic and voice quality information. We want to exploit the usage of different phonation types within the production of emotions. Therefore, as features we use prosodic features, voice quality parameters, and different combinations of both types. We study how prosodic and voice quality features overlap or complement each other in the application of emotion recognition. The classification is speaker independent and uses a reduced subset of 8 features and a Bayesian classifier.

DOI: 10.1109/ICASSP.2007.367152

Extracted Key Phrases

12 Figures and Tables

0510152008200920102011201220132014201520162017
Citations per Year

77 Citations

Semantic Scholar estimates that this publication has 77 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Lugger2007TheRO, title={The Relevance of Voice Quality Features in Speaker Independent Emotion Recognition}, author={Marko Lugger and Bin Yang}, journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07}, year={2007}, volume={4}, pages={IV-17-IV-20} }