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» Canonical state models for automatic speech recognition
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ICPR
2008
IEEE
14 years 4 months ago
A Hybrid PNN-GMM classification scheme for speech emotion recognition
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...
Wee Ser, Ling Cen, Zhu Liang Yu
ICMCS
2005
IEEE
128views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Low-complexity automatic speaker recognition in the compressed GSM AMR domain
This paper presents an experimental implementation of a low-complexity speaker recognition algorithm working in the compressed speech domain. The goal is to perform speaker modeli...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...
INTERSPEECH
2010
13 years 4 months ago
Automatic speech recognition for assistive writing in speech supplemented word prediction
This paper describes a system for assistive writing, the Speech Supplemented Word Prediction Program (SSWPP). This system uses the first letter of a word typed by the user as well...
John-Paul Hosom, Tom Jakobs, Allen Baker, Susan Fa...
ICASSP
2010
IEEE
13 years 10 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
SPEECH
2010
210views more  SPEECH 2010»
13 years 8 months ago
An overview of text-independent speaker recognition: From features to supervectors
This paper gives an overview of automatic speaker recognition technology, with an emphasis on text-independent recognition. Speaker recognition has been studied actively for sever...
Tomi Kinnunen, Haizhou Li