Glottal Source model selection for stationary singing-voice by low-band envelope matching

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper a preliminary study on voice excitation modeling by single glottal shape parameter selection is presented. A strategy for direct model selection by matching derivative glottal source estimates with LF-based candidates driven by the Rd parameter is explored by means of two state-of-the-art similarity measures and a novel one considering spectral envelope information. An experimental study on synthetic singing-voice was carried out aiming to compare the performance of the different measures and to observe potential relations with respect to different voice characteristics (e.g. vocal effort, pitch range, amount of aperiodicities and aspiration noise). The results of this study allow us to claim competitive performance of the proposed strategy and suggest us preferable source modeling conditions for stationary singing-voice. © 2013 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Villavicencio, F. (2013). Glottal Source model selection for stationary singing-voice by low-band envelope matching. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7911 LNAI, pp. 42–49). Springer Verlag. https://doi.org/10.1007/978-3-642-38847-7_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free