Cepstral (MFCC) Feature and Spectral (Timbral) Features Analysis for Musical Instrument Sounds

Autor:	Sushen R. Gulhane, S. D. Shirbahadurkar, Sanjay S. Badhe
Rok vydání:	2018
Předmět:	Sound (medical instrument) Computer science Speech recognition Feature extraction Cepstrum Feature (machine learning) Music information retrieval Musical instrument Mel-frequency cepstrum
Zdroj:	2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN).
DOI:	10.1109/gcwcn.2018.8668628
Popis:	In this paper, Cepstral i.e. MFCC feature extraction of Musical Instrument sound is done. 13 MFCC coefficients are extracted & analyzed and found the appropriate coefficient required for Musical Instrument Identification. Similarly, Spectral (timbral) features of Musical Instrument Sounds are extracted using Music Information Retrieval (MIR) toolbox 1.6. After extracting the features, they are analyzed and found appropriate timbral features required for Musical Instrument Identification.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fe6692af9b8d1a1627a11dad8bf9cd9a https://doi.org/10.1109/gcwcn.2018.8668628 Zobrazit plný text záznamu