Classification in music research

DOI10.1007/S11634-007-0016-XzbMath1183.62109OpenAlexW2050879753MaRDI QIDQ1042634

Claus Weihs, Fabian Mörchen, Uwe Ligges, Daniel Müllensiefen

Publication date: 14 December 2009

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-007-0016-x

zbMATH Keywords

automatic transcriptioncompositional structure analysismusic psychologyorganization of music collections

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Mathematics and music (00A65)

Related Items (3)

Image data analysis and classification in marketing ⋮ Time series classification by class-specific Mahalanobis distance measures ⋮ Feature clustering for instrument classification

Uses Software

• R
• FastICA
• ESOM-MAP
• EMD
• MA Toolbox
• LilyPond
• jAudio
• LaTeX
• TeX
• Marsyas

Cites Work

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• Feature space transforms for curve detection
• Fitting time series models to nonstationary processes
• Automatic feature extraction for classifying audio data
• Automatic Statistical Analysis of Bivariate Nonstationary Time Series
• Time-Dependent Spectral Analysis of Nonstationary Time Series
• Classification of general audio data for content-based retrieval
• Bayesian Variable Selection and Regularization for Time–Frequency Surface Estimation
• On Information and Sufficiency
• Self-organizing maps.
• The elements of statistical learning. Data mining, inference, and prediction

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