Abstract
This thesis was developed out of a need to reduce the time required to correct Linear Predictive Code (LPC) data used for training a formant tracker. A program was written to select peaks from LPC data and interpret them as Fl, F2, and F3, using knowledge about the phonetic transcription, the sex of the speaker, knowledge about individual phonemes, and a few heuristics. The system was tested on a database of eight speakers, four male and four female, each of whom produced ten sentences. This data set comprised 1,011 resonant phonemes covering 17,363 5-msec. frames. Overall the system correctly matched Fl in 98.9% of the frames, F2 in 92.2% of the frames, and F3 in 88.8% of the frames.
Library of Congress Subject Headings
Speech processing systems--Design; Formants (Speech)--Data processing; Automatic speech recognition; Speech synthesis--Data processing
Publication Date
1989
Document Type
Thesis
Department, Program, or Center
Computer Science (GCCIS)
Advisor
Hillenbrand, James
Advisor/Committee Member
Biles, John
Advisor/Committee Member
Anderson, Peter
Recommended Citation
Richards, Elizabeth A., "Automatic formant labeling in continuous speech" (1989). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/340
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TK7882.S65 R525 1989