Work

Vowels formants analysis allows straightforward detection of high arousal emotions

Year: 2011

Type: conference-paper

Source: IEEE International Conference on Multimedia and Expo (ICME)

DOI: 10.1109/icme.2011.6012003

Authors: Bogdan Vlasenko, David Philippou-Hubner, Dmytro Prylipko, Ronald Bock, Ingo Siegert, Andreas Wendemuth

Institution: Otto-von-Guericke-Universität Magdeburg

Language: English

Topic: Emotion and Mood Recognition

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2167820006

FWCI: 1.853

Cites: 15

Cited by: 34

Related to: 10