Automatic adaptation of a vocal tract model
Aalborg(2010)
摘要
In this paper we present a method for adapting an articulatory model to a new speaker from acoustic data only. The main goal of this method is to make acoustic-to-articulatory inversion a fully automatic process. Speaker-specificity is modeled by a two dimensional scale factor, which makes it more flexible than VTLN methods. Validation of the method is performed on three speakers by comparing the scale factors found on medical images of the vocal tract and those estimated. These experiments show that the method is accurate provided that the speech material covers a wide acoustic space. Two additional experiments on longitudinal acoustic data are presented, in order to study vocal tract evolution with age.
更多查看译文
关键词
speech processing,vtln methods,acoustic-to-articulatory inversion,articulatory model,longitudinal acoustic data,medical images,speaker-specificity,two dimensional scale factor,vocal tract model,speech,acoustics,data models,trajectory,calculus
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络