Title :
A new voice source model based on high-speed imaging and its application to voice source estimation
Author :
Shue, Yen-Liang ; Alwan, Abeer
Author_Institution :
Dept. of Electr. Eng., Univ. of California Los Angeles, Los Angeles, CA, USA
Abstract :
There are numerous models of varying complexities which seek to efficiently represent the voice source signal. These models are typically based on data and observations which can come from air-flow masks, electroglottographs, mechanical systems, and the inverse-filtering of speech signals. The first part of this study examines observations from the high-speed imaging of the larynx and proposes a new source model, which is shown to provide a better fit for the observed data than existing models. The proposed source model is then used in an automatic source estimation application, based on methods introduced in an earlier study [1]. Results, on average, show that the proposed model provides a more accurate estimation of the source signal compared with the Liljencrants-Fant model.
Keywords :
acoustic signal processing; bioacoustics; speech; speech processing; automatic source estimation application; larynx high speed imaging; voice source estimation; voice source model; voice source signal representation; Acoustic imaging; Acoustic pulses; Acoustic waves; Larynx; Mechanical systems; Medical services; Signal processing; Speech analysis; Speech coding; Speech processing; source estimation; speech analysis; voice source;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495030