小故事
发表于 2025-3-23 10:02:22
Parameter Optimization in a Text-Dependent Cryptographic-Speech-Key Generation Taskfrom the phoneme segmentation. Finally, the Support Vector Machines classifier, relying on an RBF kernel, computes the cryptographic key. By optimising the number of parameters our results show an improvement of 19.88%, 17.08%, 14.91% for 10, 20 and 30 speakers respectively, employing the YOHO database.
流动性
发表于 2025-3-23 15:10:52
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Evocative
发表于 2025-3-23 22:02:27
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pulmonary-edema
发表于 2025-3-24 00:26:42
Conference proceedings 2005d 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 discuss novel id
chronology
发表于 2025-3-24 02:37:22
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/667315.jpg
愉快吗
发表于 2025-3-24 07:10:30
https://doi.org/10.1007/11613107ai; algorithms; artificial intelligence; higher-order statistics; image processing; intelligent informati
VAN
发表于 2025-3-24 11:45:10
The COST-277 Speech Databasech processing” European project, as a result of European collaboration. This database lets to address two main problems: the relevance of bandwidth extension, and the usefulness of a watermarking with perceptual shaping at different Watermark to Signal ratios. It will be public available after the end of the COST-277 action, in January 2006.
Optic-Disk
发表于 2025-3-24 15:22:36
On the Acoustic-to-Electropalatographic Mapping speech. It leads to a stream of binary vectors, called electropalatograms. We are interested in the mapping from the acoustic signal to electropalatographic information. We present results on experiments using Support Vector Classification and a combination of Principal Component Analysis and Support Vector Regression.
Acetaminophen
发表于 2025-3-24 21:20:34
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keloid
发表于 2025-3-25 02:12:19
Nonlinear Analyses and Algorithms for Speech Processing978-3-540-32586-4Series ISSN 0302-9743 Series E-ISSN 1611-3349