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» Subspace Gaussian Mixture Models for speech recognition
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SMC
2007
IEEE
15 years 3 months ago
Mental tension detection in the speech based on physiological monitoring
— The focus of this paper is mental tension detection in speech to assist control the tension in day-to-day business such as conferences and operations in a call center. It is di...
Michiaki Ariga, Yoshikazu Yano, Shinji Doki, Shige...
ICPR
2010
IEEE
14 years 7 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...
ICASSP
2011
IEEE
14 years 1 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li
ISNN
2005
Springer
15 years 3 months ago
A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures
This paper presents a block-adaptive subspace algorithm via oblique projection for blind source separation (BSS) problem of convolutive mixtures. In the proposed algorithm, the pro...
Chunyi Peng, Xianda Zhang, Qutang Cai
70
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INFORMATICALT
2010
151views more  INFORMATICALT 2010»
14 years 8 months ago
The Use of Group Delay Features of Linear Prediction Model for Speaker Recognition
Abstract. New text independent speaker identification method is presented. Phase spectrum of allpole linear prediction (LP) model is used to derive the speech features. The featur...
Algirdas Bastys, Andrej Kisel, Bernardas Salna