Amanote Research

Amanote Research

    RegisterSign In

Musical Audio Analysis Using Sparse Representations

doi 10.1007/978-3-7908-1709-6_9
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
Mark D. PlumbleySamer A. AbdallahThomas BlumensathMaria G. JafariAndrew NesbitEmmanuel VincentBeiming Wang
Publisher

Physica-Verlag HD


Related search

Quantization of Sparse Representations

2007English

Sparse Modeling for Lossless Audio Compression

IEEE Transactions on Audio, Speech, and Language Processing
2013English

Audio Classification Based on Sparse Coefficients

2011English

Intelligent Data Fusion Using Sparse Representations and Nonlinear Dimensionality Reduction

2009English

Spatial Relationships Over Sparse Representations

2009English

Exploiting Sparse Representations for Robust Analysis of Noisy Complex Video Scenes

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Generating Expressive Summaries for Speech and Musical Audio Using Self-Similarity Clues

2006English

Gearbox Fault Classification Using Dictionary Sparse Based Representations of Vibration Signals

Journal of Intelligent and Fuzzy Systems
EngineeringStatisticsProbabilityArtificial Intelligence
2018English

Hierarchical Learning of Sparse Image Representations Using Steered Mixture-Of-Experts

2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy