快乐
发表于 2025-3-21 18:59:52
书目名称Nonlinear Analyses and Algorithms for Speech Processing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0667315<br><br> <br><br>书目名称Nonlinear Analyses and Algorithms for Speech Processing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0667315<br><br> <br><br>
calumniate
发表于 2025-3-21 22:00:47
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
发表于 2025-3-22 02:56:20
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乱砍
发表于 2025-3-22 08:36:37
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拥护者
发表于 2025-3-22 08:47:40
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.
装入胶囊
发表于 2025-3-22 16:34:15
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Fissure
发表于 2025-3-22 18:42:27
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FLORA
发表于 2025-3-22 22:48:27
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
发表于 2025-3-23 02:48:46
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
发表于 2025-3-23 09:11:07
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