Exploring the benefits of discretization of acoustic features for speech emotion recognition
Year: 2009
Type: conference-paper
Abstract: We present a contribution to the Open Performance subchallenge of the INTERSPEECH 2009 Emotion Challenge.We evaluate the feature extraction and classifier of EmoVoice, our framework for real-time emotion recognition from voice on the challenge database and achieve competitive results.Furthermore, we explore the benefits of discretizing numeric acoustic features and find it beneficial in a multi-class task.
Source: Interspeech (USB)
Authors: Thurid Vogt, Elisabeth André
Institution: University of Augsburg
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W122166360