Article thumbnail

Determination of Prosodic Feature Set for Emotion Recognition in Acted Call Center Speech

By Eliza Concepcion E, Mary Shalom, B. Lopez, Michael Gringo, Angelo R. Bayona, Michael S. Morales, Franz A. De Leon, Belen D. Calingacion, Prospero C. Naval, Rowena Cristina and L. Guevara

Abstract

Abstract — Emotion recognition can help improve humanmachine interfaces (HMI). To develop a stable emotion recognition system, there should be a basis of characteristics to compare with the speech sample. Since the system should be independent of the actual word or sentence uttered, only prosodic features were considered as parameters. The performance accuracy of each feature was evaluated using multivariate discriminant analysis. The emotions considered were anger, boredom, happiness or satisfaction, and neutral. In a previous study, it was determined that among the features tested, the median derivative of pitch had the highest percentage accuracy of 69.62 % [1]. Neutral was the most successfully recognized emotion while the non-neutral emotions had very low accuracy rates. This pattern can be related to the distribution of emotion in the data used since most of the samples were classified as neutral, with the non-neutral emotions having a combined distribution of less than 10%. For this study, acted call center speech data was collected to remove the biases introduced by having unequal emotion distribution. To form the data, call center scripts were written. Each actor portrayed the scripts into the four emotions. The same set of prosodic features was extracted from the acted call center speech data and multivariate discriminant analysis was performed. Features with high performance accuracy constitute the feature set for the emotion recognition system. In this study, all four emotions were recognized with better accuracy. I

Year: 2010
OAI identifier: oai:CiteSeerX.psu:10.1.1.170.4102
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.engg.upd.edu.ph/%7E... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.