Name
Title | ||
|---|---|---|
A New Voice Source Model Based On High-Speed Imaging And Its Application To Voice Source Estimation |
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495030 | 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING |
Keywords | Field | DocType |
source estimation, voice source, speech analysis | Signal processing,Speech processing,Speech coding,Computer science,Bioacoustics,Speech recognition,Source model,Atmospheric model,Voice source,Mechanical system | Conference |
ISSN | Citations | PageRank |
1520-6149 | 3 | 0.38 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yen-Liang Shue | 1 | 54 | 6.62 |
| Abeer Alwan | 2 | 729 | 88.19 |