Music Data Analysis Music Data Analysis
Chapman & Hall/CRC Computer Science & Data Analysis

Music Data Analysis

Foundations and Applications

Claus Weihs والمزيد
    • ‏89٫99 US$
    • ‏89٫99 US$

وصف الناشر

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.

النوع
تمويل شركات وأفراد
تاريخ النشر
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١٧ نوفمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
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‫م.ب.‬
Proceedings of the Ninth International Conference Oon Music Information Retrieval Proceedings of the Ninth International Conference Oon Music Information Retrieval
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Machine Learning and Music Generation Machine Learning and Music Generation
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Information Retrieval for Music and Motion Information Retrieval for Music and Motion
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Advances in Nonlinear Speech Processing Advances in Nonlinear Speech Processing
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Advances in Nonlinear Speech Processing Advances in Nonlinear Speech Processing
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Perception-based Data Mining and Decision Making in Economics and Finance Perception-based Data Mining and Decision Making in Economics and Finance
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Foundations of Statistical Algorithms Foundations of Statistical Algorithms
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Statistics Today Statistics Today
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Analysis and Modeling of Complex Data in Behavioral and Social Sciences Analysis and Modeling of Complex Data in Behavioral and Social Sciences
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Classification as a Tool for Research Classification as a Tool for Research
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Classification - the Ubiquitous Challenge Classification - the Ubiquitous Challenge
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Data Science Foundations Data Science Foundations
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Exploratory Data Analysis with MATLAB Exploratory Data Analysis with MATLAB
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Semisupervised Learning for Computational Linguistics Semisupervised Learning for Computational Linguistics
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Foundations of Statistical Algorithms Foundations of Statistical Algorithms
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Design and Modeling for Computer Experiments Design and Modeling for Computer Experiments
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Time Series Clustering and Classification Time Series Clustering and Classification
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