Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Musical understanding at the beat level: real-time beat tracking for audio signals
Computational auditory scene analysis
An overview of audio information retrieval
Multimedia Systems - Special issue on audio and multimedia
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Prediction-driven computational auditory scene analysis
Prediction-driven computational auditory scene analysis
Sound-source recognition: a theory and computational model
Sound-source recognition: a theory and computational model
Music-listening systems
Redundancy reduction for computational audition, a unifying approach
Redundancy reduction for computational audition, a unifying approach
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Music summarization using key phrases
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Musical instrument recognition using cepstral coefficients and temporal features
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Sound analysis using MPEG compressed audio
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Content-based methods for the management of digital music
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Introduction and overview: a sample of music information retrieval approaches
Journal of the American Society for Information Science and Technology - Music information retrieval
Creating ambient music spaces in real and virtual worlds
Multimedia Tools and Applications
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The constantly increasing amount of audio available in digital form necessitates the development of software systems for analyzing and retrieving digital audio. In this work, we describe our efforts in developing such systems. More specifically, we describe the design philosophy behind our approach, the specific problems we try to solve, and how we evaluate the performance of our algorithms. Automatic music analysis and retrieval of non-speech digital audio is a relatively new field, and the existing techniques are far from perfect. To improve the performance of the developed techniques, two main techniques are used: (1) integration of information from multiple analysis and retrieval algorithms and (2) the use of graphical user interfaces that enable the user to provide feedback to the design, development, and evaluation of the algorithms. All the developed algorithms and user interfaces are integrated under MARSYAS, a software framework for research in computer audition.