An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Using duration models to reduce fragmentation in audio segmentation
Machine Learning
A music search engine built upon audio-based and web-based similarity measures
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The future of content is in ourselves
Computers in Entertainment (CIE) - SPECIAL ISSUE: Media Arts
Searching for Music Using Natural Language Queries and Relevance Feedback
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Detecting Hubs in Music Audio Based on Network Analysis
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A fuzzy framework for defining dynamic playlist generation heuristics
Fuzzy Sets and Systems
Modeling music as a dynamic texture
IEEE Transactions on Audio, Speech, and Language Processing
A novel music recommender by discovering preferable perceptual-patterns from music pieces
Proceedings of the 2010 ACM Symposium on Applied Computing
Evaluating multiple viewpoint models of tabla sequences
Proceedings of 3rd international workshop on Machine learning and music
A music information system automatically generated via Web content mining techniques
Information Processing and Management: an International Journal
Music thumbnailing incorporating harmony- and rhythm structure
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
A cross-modal method of labeling music tags
Multimedia Tools and Applications
The CoMIRVA toolkit for visualizing music-related data
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Music Homogeneity Analysis through Instantaneous Frequencies
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
| Hi-index | 0.00 |
Electronic Music Distribution is in need of robust and automatically extracted music descriptors. An important attribute of a piece of polyphonic music is what is commonly referred to as "the way it sounds". While there has been a large quantity of research done to model the timbre of individual instruments, little work has been done to analyze "real world" timbre mixtures such as the ones found in popular music. In this paper, we present our research about such "polyphonic timbres". We describe an effective way to model the textures found in a given music signal, and show that such timbre models provide new solutions to many issues traditionally encountered in music signal processing and music information retrieval. Notably, we describe their applications for music similarity, segmentation and pattern induction.