Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS)

Volume: 106, Pages: 77 - 91
Published: Sep 1, 2018
Abstract
The technology of music information retrieval (MIR) is an emerging field that helps in tagging each portion of an audio clip. A majority of the subtasks of MIR need an application that segments vocal and non-vocal portions. In this paper, an effort has been made to segment the vocal and non-vocal regions using some novel features based on formant structure on top of standard features. The features such as Mel-frequency cepstral coefficients...
Paper Details
Title
Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS)
Published Date
Sep 1, 2018
Volume
106
Pages
77 - 91
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.