Applications Of Support Vector Machines To Speech Recognition

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Applications of Support Vector Machines to Speech Recognition

    https://www.isip.piconepress.com/publications/journals_refereed/2004/ieee_sp/support_vectors/paper_v9_double.pdf
    discriminative approach, support vector machines (SVMs) [11], to speech recognition. We review the SVM approach in Section II, discuss applications to speech recognition in Section III, and present experimental results in Section IV. More comprehensive treatments of fundamental topics such as

Applications of support vector machines to speech ...

    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

Applications of Support Vector Machines for Pattern ...

    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-

Age and Gender Recognition for Speech Applications based ...

    https://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 CommonsCited by: 5

Bagged support vector machines for emotion recognition ...

    https://www.sciencedirect.com/science/article/pii/S0950705119303533
    Nov 15, 2019 · 1. Introduction. Speech is one of the primary means of communication among human beings. One can convey their emotions, state of mind etc. through speech, and speech related applications have sprung up in numerous areas such as personal digital assistants, text-to-speech models, sensors and others. Thus, the natural next step is to teach a computer to interact just like …Cited by: 1

(PDF) Application of support vector machines classifiers ...

    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

SVM - Support Vector Machines

    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.

Speech Emotion Recognition Using Support Vector Machine

    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

(PDF) Applications of support vector machines to speech ...

    https://www.academia.edu/6016257/Applications_of_support_vector_machines_to_speech_recognition
    Applications of support vector machines to speech recognition

[PDF] Age and Gender Recognition for Speech Applications ...

    https://www.semanticscholar.org/paper/Age-and-Gender-Recognition-for-Speech-Applications-Erokyar/ceb26cf110fb1eb6972e8bd19ea49709685c6a47
    Age and Gender Recognition for Speech Applications based on Support Vector Machines @inproceedings{Erokyar2014AgeAG, title={Age and Gender Recognition for Speech Applications based on Support Vector Machines}, author={Hasan Erokyar}, year={2014} } Hasan Erokyar



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