Sciweavers

ICASSP
2010
IEEE
13 years 5 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
HCI
2007
13 years 6 months ago
Unobtrusive Multimodal Emotion Detection in Adaptive Interfaces: Speech and Facial Expressions
Two unobtrusive modalities for automatic emotion recognition are discussed: speech and facial expressions. First, an overview is given of emotion recognition studies based on a com...
Khiet P. Truong, David A. van Leeuwen, Mark A. Nee...
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Thurid Vogt, Elisabeth André