A roadmap towards versatile MIR

Emmanuel Vincent 1 Stanislaw Raczynski 2 Nobutaka Ono 2 Shigeki Sagayama 2
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Most MIR systems are specifically designed for one application and one cultural context and suffer from the semantic gap between the data and the application. Advances in the theory of Bayesian language and information processing enable the vision of a versatile, meaningful and accurate MIR system integrating all levels of information. We propose a roadmap to collectively achieve this vision.
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.inria.fr/inria-00544047
Contributor : Emmanuel Vincent <>
Submitted on : Tuesday, December 7, 2010 - 11:05:57 AM
Last modification on : Thursday, March 21, 2019 - 2:20:42 PM
Long-term archiving on : Tuesday, March 8, 2011 - 3:04:46 AM

File

vincent_ISMIR10.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : inria-00544047, version 1

Citation

Emmanuel Vincent, Stanislaw Raczynski, Nobutaka Ono, Shigeki Sagayama. A roadmap towards versatile MIR. 2010 Int. Society for Music Information Retrieval Conf. (ISMIR), Aug 2010, Utrecht, Netherlands. pp.662--664. ⟨inria-00544047⟩

Share

Metrics

Record views

482

Files downloads

205