Melody and accompaniment audio signal separation

Author: Shayenne da Luz Moura

Advisor: Marcelo Queiroz

Recovering perceptually valid information from audio signals is an important challenge with many areas of application. Among them is the computational auditory scene analysis, which seeks to achieve human performance in the recovery of sound characteristics. To this end, tools and methods that are widely studied in music information retrieval are used. This work uses a system developed to extract melodic information from signals and, from its results, performs the separation of this information in different audio tracks. The results show that, although simple, this method has some relevance in relation to what is perceived as main melody. There are several limitations, including the type of sound source and the quality of the melodic information returned by the system used.

See more: https://linux.ime.usp.br/~shayenne/mac0499/index.html