Titlebook: Nonlinear Analyses and Algorithms for Speech Processing; International Confer Marcos Faundez-Zanuy,Léonard Janer,Virginia Espino Conference

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書目名稱Nonlinear Analyses and Algorithms for Speech Processing影響因子(影響力)




書目名稱Nonlinear Analyses and Algorithms for Speech Processing影響因子(影響力)學(xué)科排名




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書目名稱Nonlinear Analyses and Algorithms for Speech Processing被引頻次




書目名稱Nonlinear Analyses and Algorithms for Speech Processing被引頻次學(xué)科排名




書目名稱Nonlinear Analyses and Algorithms for Speech Processing年度引用




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書目名稱Nonlinear Analyses and Algorithms for Speech Processing讀者反饋




書目名稱Nonlinear Analyses and Algorithms for Speech Processing讀者反饋學(xué)科排名

calumniate

Exploiting High-Level Information Provided by ALISP in Speaker Recognition-based Gaussian Mixture Models (GMM) system exploiting the speaker discriminating properties of individual speech classes. The resulting fused system reduced the error rate over the individual systems on the NIST 2004 Speaker Recognition Evaluation data.

DUCE

亂砍

擁護(hù)者

Cepstrum-Based Estimation of the Harmonics-to-Noise Ratio for Synthesized and Human Voice Signalsrce influence is removed using a novel harmonic pre-emphasis technique. The results indicate accurate HNR estimation using the present approach. A preliminary investigation of the method with a set of normal/ pathological data is investigated.

裝入膠囊

Fissure

FLORA

Optimal Size of Time Window in Nonlinear Features for Voice Quality Measurement, one of them including these features, have been implemented with the purpose of validating the usefulness of the suggested nonlinear features. We obtain slight improvements with respect to a classical system.

CLEAR

Support Vector Machines Applied to the Detection of Voice Disorderssuch a Gaussian Mixture or Hidden Markov Models): the SVM models the boundary between the classes instead of modelling the probability density of each class. In this paper it is shown that the scheme proposed fed with short-term cepstral and noise parameters can be applied for the detection of voice impairments with a good performance.

草本植物

0302-9743 nts related to N- linear speech processing, in the framework of the European COST action 277 “Nonlinear speech processing”. Many speci?cs of the speech signal are not well addressed by conv- tional models currently used in the ?eld of speech processing. The purpose of NOLISP is to present and discus