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Music Data Analysis

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advanced music data analysis applications
Category=PBT
Complex Tone
DCT Frame
detection
digital audio processing
Distribution Function FX
dortmund
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
feature extraction techniques
Gabor Transform
Harmonic Complex Tone
Heisenberg Boxes
Implementation Architectures
information
instrument
Instrument Recognition
Kind Kind
Kind Kind Kind
Kind Kind Kind Kind
Mel Scale
Mirex
music recommendation systems
music signal analysis
onset
Onset Detection
Playback
processing
Pure Tones
recognition
recommendation
retrieval
Semitone Steps
signal
supervised classification
Time Frequency Atom
Time Frequency Plane
Tone
Tone Height
Tone Onset
TU Dortmund
unsupervised learning methods
Vibration Ratios
Wavelet Transform

Product details

  • ISBN 9780367872816
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Dec 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

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.
About

Dietmar Jannach, Günter Rudolphm and Igor Vatolkin are affiliated with the Department of Computer Science, TU Dortmund University, Germany

Claus Weihs is affiliated with the Department of Statistics at TU Dortmund University, Germany