| Paper: | SP-L5.2 | ||
| Session: | Pitch and Tone Based Speech Analysis | ||
| Time: | Thursday, May 20, 09:50 - 10:10 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Feature Extraction | ||
| Title: | ALGORITHM FOR AUTOMATIC GLOTTAL WAVEFORM ESTIMATION WITHOUT THE RELIANCE ON PRECISE GLOTTAL CLOSURE INFORMATION | ||
| Authors: | Elliot Moore; Georgia Institute of Technology | ||
| Mark Clements; Georgia Institute of Technology | |||
| Abstract: | An automated glottal waveform estimation algorithm is presented that improves on a previous manual glottal extraction technique which produced excellent glottal waveform estimates. The algorithm uses only basic approximations of glottal closure regions and successive iterations to find the best candidate for a glottal waveform estimate within a speech frame. Visual comparisons of the glottal waveform estimates created by the algorithm and those generated from the use of glottal closure information provided by an electroglottograph (EGG) reveal that the algorithm produced virtually identical estimates. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops