๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Music data analysis: foundations and applications

โœ Scribed by Jannach, Dietmar; Rudolph, Guenter; Vatolkin, Igor; Weihs, Claus

Publisher
Chapman and Hall/CRC
Year
2017
Tongue
English
Leaves
694
Series
Series in computer science and data analysis
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis

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.

โœฆ Table of Contents

Content: MUSIC AND AUDIO. Introduction. The Musical Signal - Physically and Psychologically. Musical Structures and Their Perception. Digital Signal Processing. Digital Representation of Music. Signal-level Features. METHODS. Foundations of Statistics. Optimization. Unsupervised Classification. Supervised Classification. Evaluation. Feature Processing. Feature Selection. APPLICATIONS. Transcription. Segmentation. Instrument Recognition. Chord and Harmony Recognition. Tempo Recognition. Emotions. Structuring Of Music Collections. Music Recommendation. Automatic Composition. IMPLEMENTATION. Architecture. User Interaction. Hardware.

โœฆ Subjects

Musical analysis;Data processing;Data mining;MATHEMATICS;Applied;MATHEMATICS;Probability & Statistics;General;MUSIC;Genres & Styles;Classical;MUSIC;Reference

๐Ÿ“œ SIMILAR VOLUMES

Information Systems and Data Analysis: P
๐Ÿ“ Information Systems and Data Analysis: Prospects โ€” Foundations โ€” Applications
โœ K.-D. Althoff, S. Wess, M. Manago, R. Bergmann, F. Maurer, E. Auriol, N. Conruyt ๐Ÿ“‚ Library ๐Ÿ“… 1994 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

The subject of this book is the analysis and processing of structural information or quantitative data, with a special emphasis on classification-related problems and methods.<BR>Various different approaches are presented including theoretical, statistical, structural, mathematical, conceptual, ling

Foundations of Crime Analysis: Data, Ana
๐Ÿ“ Foundations of Crime Analysis: Data, Analyses, and Mapping
โœ Jeffery T. Walker; Grant R. Drawve ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Routledge ๐ŸŒ English

<p>In recent years, the fields of crime analysis and environmental criminology have grown in prominence for their advancements made in understanding crime. This book offers a theoretical and methodological introduction to crime analysis, covering the main techniques used in the analysis of crime and

Algebraic Foundations for Applied Topolo
๐Ÿ“ Algebraic Foundations for Applied Topology and Data Analysis
โœ Hal Schenck ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer ๐ŸŒ English

How to reveal, characterize, and exploit the structure in data? Meeting this central challenge of modern data science requires the development of new mathematical approaches to data analysis, going beyond traditional statistical methods. Fruitful mathematical methods can originate in geometry, top

Data Analysis and Related Applications,
๐Ÿ“ Data Analysis and Related Applications, Volume 1: Computational, Algorithmic and Applied Economic Data Analysis
โœ Konstantinos N. Zafeiris, Christos H. Skiadas, Yannis Dimotikalis, Alex Karagrig ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Wiley-ISTE ๐ŸŒ English

<span>The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for ne