Speech deconvolution using Gaussian pulses

Graduate Thesis Or Dissertation

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/j098zf09k

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Attribute Name	Values
Creator	Asadi, Mohammad Ayman O.
Abstract	This dissertation introduces a new idea for frequency domain deconvolution of speech signals. The idea is to approximate a unit sample by a Gaussian pulse. The deconvolution is performed by designing a glottal inverse filter that will estimate the excitation of the vocal tract. Then, the excitation will be used to determine the pitch period of speech. This approximation is expected to result in filters that do not have large coefficients and that are capable of reliably estimating the excitation of the vocal tract.
Resource Type	Masters Thesis
Date Available	2013-06-28T18:24:10+00:00
Date Issued	1986-07-16
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Electrical and Computer Engineering
Degree Grantor	Oregon State University
Commencement Year	1987
Advisor	Rathja, Roy C.
Academic Affiliation	Electrical and Computer Engineering
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Automatic speech recognition Speech synthesis
Rights Statement	Copyright Not Evaluated
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Digitization Specifications	File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces	http://hdl.handle.net/1957/39893

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