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» Subspace Gaussian Mixture Models for speech recognition
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ICML
2005
IEEE
15 years 10 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
ICASSP
2011
IEEE
14 years 1 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...
NOLISP
2005
Springer
15 years 3 months ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...
ICASSP
2011
IEEE
14 years 1 months ago
Sentence level emotion recognition based on decisions from subsentence segments
Emotion recognition from speech plays an important role in developing affective and intelligent systems. This study investigates sentence-level emotion recognition. We propose to ...
Je Hun Jeon, Rui Xia, Yang Liu
TCSV
2008
125views more  TCSV 2008»
14 years 9 months ago
Exploring Co-Occurence Between Speech and Body Movement for Audio-Guided Video Localization
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
H. Vajaria, S. Sarkar, R. Kasturi