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https://ieeexplore.ieee.org/document/1315952/
Jul 19, 2004 · Applications of support vector machines to speech recognition Abstract: Recent work in machine learning has focused on models, such as the support vector machine (SVM), that automatically control generalization and parameterization as part of the overall optimization process. In this paper, we show that SVMs provide a significant improvement in ...Cited by: 316
http://www.support-vector-machines.org/SVM_pr.html
Review: Applications of Support Vector Machines in Chemistry, Rev. Comput.Chem. 2007, 23, 291-400 Pattern recognition develops and applies algorithms that recognize patterns in data. These techniques have important applications in character recognition, speech analysis, image analysis, clinical diagnostics, person identification, machine diagnostics, and industrial process supervision.
https://www.academia.edu/9438020/Application_of_support_vector_machines_classifiers_to_visual_speech_recognition
Application of support vector machines classifiers to visual speech recognition
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.723.5893&rep=rep1&type=pdf
Applications of Support Vector Machines for Pattern Recognition 217 Φ: Rn → H, and the linear classification problem is formulated in the new space with dimension d.The training algorithm then only depends on the data through dot prod-
https://www.researchgate.net/profile/Manikrao_Dhore/publication/43785303_Speech_Emotion_Recognition_Using_Support_Vector_Machines/links/0deec5243c08426014000000.pdf
©2010 International Journal of Computer Applications (0975 - 8887) Volume 1 – No. 20 6 Speech Emotion Recognition Using Support Vector Machine Yashpalsing Chavhan
https://www.researchgate.net/publication/318738121_Speech_recognition_using_Support_Vector_Machines
In Speech Recognition using Support Vector Machines [9], SVM (Support Vector Machine) classifier has been used to define the "best" separating hyper plane by exploiting the margin between boundary ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.2281
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. Each viseme is described by a support vector machine, and the temporal character of speech is modeled by integrating the support vector ...
https://www.isip.piconepress.com/publications/conference_proceedings/1998/interspeech/support_vectors/paper_svm_v3.pdf
A Support Vector Machine (SVM) is a promising machine learning technique that has generated a lot of interest in the pattern recognition community in recent years. The greatest asset of an SVM is its ability to construct nonlinear decision regions in a discriminative fashion. This paper describes an application of SVMs to two speech data ...
http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=6552&context=etd
Age and Gender Recognition for Speech Applications based on Support Vector Machines Hasan Erokyar University of South Florida, [email protected] Follow this and additional works at:https://scholarcommons.usf.edu/etd Part of theElectrical and Computer Engineering Commons
https://ieeexplore.ieee.org/document/8355321/
Speech recognition systems aim to make human-machine communication quickly and easily. In recent years, various researches and studies have been carried ou An application of speech recognition with support vector machines - IEEE Conference Publication
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