37 search results - page 1 / 8 » Emotion recognition from speech VIA boosted Gaussian mixture... |
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
INTERSPEECH
2010
12 years 12 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
We propose the use of the line spectral frequency (LSF) features for emotion recognition from speech, which have not been been previously employed for emotion recognition to the b...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
With the increasing demand for spoken language interfaces in human-computer interactions, automatic recognition of emotional states from human speeches has become of increasing im...