Mood detection from daily conversational speech using denoising autoencoder and LSTM

In current studies, an extended subjective self-report method is generally used for measuring emotions. Even though it is commonly accepted that speech emotion perceived by the listener is close to the intended emotion conveyed by the speaker, research has indicated that there still remains a mismat...

Full description

Bibliographic Details

Published in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 5125 - 5129
Main Authors:	Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su, Hsiang-Chi Fu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2017
Subjects:	denoising autoencoder Emotion recognition Hidden Markov models long short-term memory Long-term emotion tracking Mood mood detection Predictive models Speech Support vector machines
ISSN:	2379-190X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!