One approach to design of speech emotion database

Dominik Uhrin; Zdenka Chmelikova; Jaromir Tovarek; Pavol Partila; Miroslav Voznak

doi:10.1117/12.2227067

12 May 2016 One approach to design of speech emotion database

Dominik Uhrin, Zdenka Chmelikova, Jaromir Tovarek, Pavol Partila, Miroslav Voznak

Proceedings Volume 9850, Machine Intelligence and Bio-inspired Computation: Theory and Applications X; 98500B (2016) https://doi.org/10.1117/12.2227067
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

This article describes a system for evaluating the credibility of recordings with emotional character. Sound recordings form Czech language database for training and testing systems of speech emotion recognition. These systems are designed to detect human emotions in his voice. The emotional state of man is useful in the security forces and emergency call service. Man in action (soldier, police officer and firefighter) is often exposed to stress. Information about the emotional state (his voice) will help to dispatch to adapt control commands for procedure intervention. Call agents of emergency call service must recognize the mental state of the caller to adjust the mood of the conversation. In this case, the evaluation of the psychological state is the key factor for successful intervention. A quality database of sound recordings is essential for the creation of the mentioned systems. There are quality databases such as Berlin Database of Emotional Speech or Humaine. The actors have created these databases in an audio studio. It means that the recordings contain simulated emotions, not real. Our research aims at creating a database of the Czech emotional recordings of real human speech. Collecting sound samples to the database is only one of the tasks. Another one, no less important, is to evaluate the significance of recordings from the perspective of emotional states. The design of a methodology for evaluating emotional recordings credibility is described in this article. The results describe the advantages and applicability of the developed method.

Citation Download Citation

Dominik Uhrin, Zdenka Chmelikova, Jaromir Tovarek, Pavol Partila, and Miroslav Voznak "One approach to design of speech emotion database", Proc. SPIE 9850, Machine Intelligence and Bio-inspired Computation: Theory and Applications X, 98500B (12 May 2016); https://doi.org/10.1117/12.2227067

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available