Wavelet-packets Associated with Support Vector Machine Are Effective for Monophone Sorting in Music Signals
| Autor: | Norian Marranghello, Rodrigo Capobianco Guido, Rafael Rubiati Scalvenzi |
|---|---|
| Přispěvatelé: | Universidade Estadual Paulista (Unesp) |
| Rok vydání: | 2019 |
| Předmět: |
Linguistics and Language
Computer Networks and Communications Computer science Semantics in digital music Signal 060404 music Wavelet packet decomposition 030507 speech-language pathology & audiology 03 medical and health sciences wavelet-packets Artificial Intelligence support vector machine business.industry pattern recognition Sorting Pattern recognition 06 humanities and the arts Abstract interpretation Computer Science Applications Support vector machine Pattern recognition (psychology) Artificial intelligence 0305 other medical science business 0604 arts Software Information Systems |
| Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| ISSN: | 1793-7108 1793-351X |
| Popis: | Made available in DSpace on 2020-12-12T02:26:52Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-09-01 An abstract interpretation is usually required to analyze acoustic compositions. Nevertheless, there is much signal processing-related research focusing on music processing and similar topics. In that context, the semantic information contained in the melody involving major and minor chords, sharps and flats associated with semibreve, minim, crotchet, quaver, semiquaver and demisemiquaver notes can help in the study of musical sounds. Thus, multiresolution analysis based on discrete wavelet-packet transform (DWPT) associated with a support vector machine (SVM) is used in this paper to inspect and classify those signals, correlating them with a respective acoustic pattern. Results over hundreds of inputs provided almost full accuracy, reassuring the efficacy of the proposed approach for both off-line and real-time usage. Instituto de Biociências Letras e Ciências Exatas Unesp-Univ Estadual Paulista São Paulo State University, Rua Cristóvão Colombo 2265 Instituto de Biociências Letras e Ciências Exatas Unesp-Univ Estadual Paulista São Paulo State University, Rua Cristóvão Colombo 2265 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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