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.
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Villavicencio, F. (2013). Glottal Source Model Selection for Stationary Singing-Voice by Low-Band Envelope Matching. In: Drugman, T., Dutoit, T. (eds) Advances in Nonlinear Speech Processing. NOLISP 2013. Lecture Notes in Computer Science(), vol 7911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38847-7_6
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DOI: https://doi.org/10.1007/978-3-642-38847-7_6
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