Comparison of different features sets and classifiers for emotion recognition of speech

Vergleich von verschiedenen Merkmalssätzen und Klassifizierern zur Emotionserkennung von Sprache

Autori

• Tobias Gruber

Parametri

• 108 pagine
• 4 ore di lettura

• Ingegneria elettrica

Maggiori informazioni sul libro

Focusing on the innovative field of emotion recognition, this thesis explores techniques for analyzing speech signals to identify emotional states. It employs various features to enhance the accuracy and effectiveness of recognition systems. Conducted at the University of Stuttgart, the research contributes to the intersection of signal processing and emotional intelligence, aiming to improve human-computer interaction. The work is presented in English and reflects a high academic standard, achieving a top grade.

Lingua: Inglese

Pubblicato: 2015

(In brossura)