Music Information Retrieval - Soft Computing Versus Statistics

Abstract : Music Information Retrieval (MIR) is an interdisciplinary research area that covers automated extraction of information from audio signals, music databases and services enabling the indexed information searching. In the early stages the primary focus of MIR was on music information through Query-by- Humming (QBH) applications, i.e. on identifying a piece of music by singing (singing/whistling), while more advanced implementations supporting Queryby- Example (QBE) searching resulted in names of audio tracks, song identification, etc. Both QBH and QBE required several steps, among others an optimized signal parametrization and the soft computing approach. Nowadays, MIR is associated with research based on the content analysis that is related to the retrieval of a musical style, genre or music referring to mood or emotions. Even though, this type of music retrieval called Query-by-Category still needs feature extraction and parametrization optimizing, but in this case search of global online music systems and services applications with their millions of users is based on statistical measures. The paper presents details concerning MIR background and answers a question concerning usage of soft computing versus statistics, namely: why and when each of them should be employed.
Complete list of metadatas

Cited literature [33 references]  Display  Hide  Download

https://hal.inria.fr/hal-01444490
Contributor : Hal Ifip <>
Submitted on : Tuesday, January 24, 2017 - 10:41:22 AM
Last modification on : Wednesday, January 25, 2017 - 1:04:03 AM
Long-term archiving on : Tuesday, April 25, 2017 - 1:33:15 PM

File

978-3-319-24369-6_3_Chapter.pd...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Bozena Kostek. Music Information Retrieval - Soft Computing Versus Statistics. 14th Computer Information Systems and Industrial Management (CISIM), Sep 2015, Warsaw, Poland. pp.36-47, ⟨10.1007/978-3-319-24369-6_3⟩. ⟨hal-01444490⟩

Share

Metrics

Record views

92

Files downloads

172