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» Emotion recognition using imperfect speech recognition
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ICPR
2008
IEEE
15 years 4 months ago
Boosting Gaussian mixture models via discriminant analysis
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
Hao Tang, Thomas S. Huang
TSD
2007
Springer
15 years 4 months ago
Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System
Abstract. Gender and age estimation based on Gaussian Mixture Models (GMM) is introduced. Telephone recordings from the Czech SpeechDatEast database are used as training and test d...
Valiantsina Hubeika, Igor Szöke, Lukas Burget...
AND
2010
14 years 8 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
ICASSP
2011
IEEE
14 years 1 months ago
Forensically inspired approaches to automatic speaker recognition
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...
COLING
2008
14 years 11 months ago
Towards Incremental End-of-Utterance Detection in Dialogue Systems
We define the task of incremental or 0lag utterance segmentation, that is, the task of segmenting an ongoing speech recognition stream into utterance units, and present first resu...
Michaela Atterer, Timo Baumann, David Schlangen