An Introduction To Music Information Retrieval Techniques And Signaling Schemes: (Akhilesh K. Sharma), Music Information retrieval is in huge demand these days. The music professionals facing the problem of finding the auto accompaniments and users facing trouble in accurate music segment detection. Our book mainly focusing on these hot issues and how to classify and find cluster of similar type of music segments. This book also covered the music mining through Weka and we illustrated the concepts through the help of diagrams. Key Features : 1. Use of Matlab and WEKA, Rapid minor for clear understanding and simulation. 2. Music segment detection in Indian Classical Music using SOM based approach. 3. Content based and onset histograms based approaches for MIR. 4. DSP (Digital Signal Processing) aspects and uses in MIR. 5. Uses of matlab & toolboxes in PCP computation for frequency spectra.Machine learning aspects in MIR. 6.Data mining aspects using computational tools like weka & rapid minor.Recent challenges and future perspectives. 7. GUI programming in Matlab, Iceland of Music based approach for music cluster formati
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A.K.Sharma, Ph.D. Pursuing, is Assistant Professor at SPSU an org. of JK Cement.He has many papers to his credit on reputed journals and conferences. He is the reviewer of so many reputed journals of national and international level. He has membership of different professional bodies like CSI(computer society of india),CSTA of ACM,IACSIT,IAENG etc.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An Introduction To Music Information Retrieval Techniques And Signaling Schemes: (Akhilesh K. Sharma), Music Information retrieval is in huge demand these days. The music professionals facing the problem of finding the auto accompaniments and users facing trouble in accurate music segment detection. Our book mainly focusing on these hot issues and how to classify and find cluster of similar type of music segments. This book also covered the music mining through Weka and we illustrated the concepts through the help of diagrams. Key Features : 1. Use of Matlab and WEKA, Rapid minor for clear understanding and simulation. 2. Music segment detection in Indian Classical Music using SOM based approach. 3. Content based and onset histograms based approaches for MIR. 4. DSP (Digital Signal Processing) aspects and uses in MIR. 5. Uses of matlab & toolboxes in PCP computation for frequency spectra.Machine learning aspects in MIR. 6.Data mining aspects using computational tools like weka & rapid minor.Recent challenges and future perspectives. 7. GUI programming in Matlab, Iceland of Music based approach for music cluster formati 108 pp. Englisch. Bestandsnummer des Verkäufers 9783838371269
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma Akhilesh K.A.K.Sharma, Ph.D. Pursuing, is Assistant Professor at SPSU an org. of JK Cement.He has many papers to his credit on reputed journals and conferences. He is the reviewer of so many reputed journals of national and in. Bestandsnummer des Verkäufers 5417434
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An Introduction To Music Information Retrieval Techniques And Signaling Schemes: (Akhilesh K. Sharma), Music Information retrieval is in huge demand these days. The music professionals facing the problem of finding the auto accompaniments and users facing trouble in accurate music segment detection. Our book mainly focusing on these hot issues and how to classify and find cluster of similar type of music segments. This book also covered the music mining through Weka and we illustrated the concepts through the help of diagrams. Key Features : 1. Use of Matlab and WEKA, Rapid minor for clear understanding and simulation. 2. Music segment detection in Indian Classical Music using SOM based approach. 3. Content based and onset histograms based approaches for MIR. 4. DSP (Digital Signal Processing) aspects and uses in MIR. 5. Uses of matlab & toolboxes in PCP computation for frequency spectra.Machine learning aspects in MIR. 6.Data mining aspects using computational tools like weka & rapid minor.Recent challenges and future perspectives. 7. GUI programming in Matlab, Iceland of Music based approach for music cluster formatiVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Bestandsnummer des Verkäufers 9783838371269
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An Introduction To Music Information Retrieval Techniques And Signaling Schemes: (Akhilesh K. Sharma), Music Information retrieval is in huge demand these days. The music professionals facing the problem of finding the auto accompaniments and users facing trouble in accurate music segment detection. Our book mainly focusing on these hot issues and how to classify and find cluster of similar type of music segments. This book also covered the music mining through Weka and we illustrated the concepts through the help of diagrams. Key Features : 1. Use of Matlab and WEKA, Rapid minor for clear understanding and simulation. 2. Music segment detection in Indian Classical Music using SOM based approach. 3. Content based and onset histograms based approaches for MIR. 4. DSP (Digital Signal Processing) aspects and uses in MIR. 5. Uses of matlab & toolboxes in PCP computation for frequency spectra.Machine learning aspects in MIR. 6.Data mining aspects using computational tools like weka & rapid minor.Recent challenges and future perspectives. 7. GUI programming in Matlab, Iceland of Music based approach for music cluster formati. Bestandsnummer des Verkäufers 9783838371269
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Taschenbuch. Zustand: Neu. An Introduction to Music Information Retrieval and Signaling schemes | A quick approach to MIR and DSP techniques | Akhilesh K. Sharma (u. a.) | Taschenbuch | 108 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783838371269 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105052762
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