The extraction of semantic features from audio signals is a research area that is of the most interest for the automatic classification, indexation and retrieval of audio material. Furthermore, real-time interactive systems that use sound as an input may also benefit from the development of such technologies in order to achieve a better interaction with 'real-world' events. This paper addresses the analysis of acoustical music signals, and in particular, its transcription to MIDI (Musical Instrument Digital Interface). The development and implementation of an automatic transcription system are presented and the results obtained are evaluated and discussed.

Authors: Martins, Luis Gustavo; Ferreira, Anibal J. S.
Affiliations: INESC Porto, Porto, Portugal ; FEUP / INESC Porto, Porto, Portugal(See document for exact affiliation information.)
AES Convention: 112 (April 2002) Paper Number: 5524
Publication Date: April 1, 2002 Import into BibTeX
Subject: Musical Acoustics
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=11425

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