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Richard P Stauduhar Deceased220 Caldecott Ln, Oakland, CA 94618

Richard Stauduhar Phones & Addresses

220 Caldecott Ln, Oakland, CA 94618   

73-4914 Anini St, Kailua Kona, HI 96740    808-3257389    510-5406375   

Keauhou, HI   

Houston, TX   

Berkeley, CA   

Mentions for Richard P Stauduhar

Publications & IP owners

Us Patents

Method And Apparatus For Speech Synthesizing

US Patent:
4384170, May 17, 1983
Filed:
Oct 29, 1979
Appl. No.:
6/089074
Inventors:
Forrest S. Mozer - Berkeley CA
Richard P. Stauduhar - Berkeley CA
International Classification:
G10L 100
US Classification:
179 1SM
Abstract:
A speech synthesizer including a device for storing compressed digital signals corresponding to original information speech or audio waveform time domain signals, the digital signals including information signal portions and instruction signal portions identifying particular compression techniques applied to associated information signal portions; an output terminal for manifesting analog electrical synthesized signals corresponding to the original signals; a digital-to-analog converter having an output coupled to the output terminal and an input; and an intermediate signal processing circuit having an input coupled to the storage device and an output coupled to the digital-to-analog converter for expanding the information signal portions in accordance with the instruction signal portions to produce digital synthesized signals to be converted to analog synthesized signals by the digital-to-analog converter.

Method And Apparatus For Speech Synthesizing

US Patent:
4214125, Jul 22, 1980
Filed:
Jan 21, 1977
Appl. No.:
5/761210
Inventors:
Forrest S. Mozer - Berkeley CA
Richard P. Stauduhar - Berkeley CA
International Classification:
G10L 100
US Classification:
179 1SM
Abstract:
A method and apparatus for analyzing and synthesizing speech information in which a predetermined vocabulary is spoken into a microphone, the resulting electrical signals are differentiated with respect to time, digitized, and the digitized waveform is appropriately expanded or contracted by linear interpolation so that the pitch periods of all such waveforms have a uniform number of digitizations and the amplitudes are normalized with respect to a reference signal. These "standardized" speech information digital signals are then compressed in the computer by subjectively removing and discarding redundant speech information such as redundant pitch periods, portions of pitch periods, redundant phonemes and portions of phonemes, redundant amplitude information (delta modulation) and phase informaton (Fourier transformation). The compression techniques are selectively applied to certain of the speech information signals by listening to the reproduced, compressed information. The resulting compressed digital information and associated compression instruction signals produced in the computer are thereafter injected into the digital memories of a digital speech synthesizer where they can be selectively retrieved and audibly reproduced to recreate the original vocabulary words and sentences from them.

Method And Apparatus For Speech Synthesizing

US Patent:
4384169, May 17, 1983
Filed:
Oct 29, 1979
Appl. No.:
6/088790
Inventors:
Forrest S. Mozer - Berkeley CA
Richard P. Stauduhar - Berkeley CA
International Classification:
G10L 100
US Classification:
179 1SM
Abstract:
A method and apparatus for analyzing and synthesizing speech information in which a predetermined vocabulary is spoken into a microphone, the resulting electrical signals are differentiated with respect to time, digitized, and the digitized waveform is appropriately expanded or contracted by linear interpolation so that the pitch periods of all such waveforms have a uniform number of digitizations and the amplitudes are normalized with respect to a reference signal. These "standardized" speech information digital signals are then compressed in the computer by subjectively removing preselected relatively low power portions of the signals by a process termed "X period zeroing" and by discarding redundant speech information such as redundant pitch periods, portions of pitch periods, redundant phonemes and portions of phonemes, redundant amplitude information (delta modulation) and phase information (Fourier transformation). The compression techniques are selectively applied to certain of the speech information signals by listening to the reproduced, compressed information. The resulting compressed digital information and associated compression instruction signals produced in the computer are thereafter injected into the digital memories of a digital speech synthesizer where they can be selectively retrieved and audibly reproduced to recreate the original vocabulary words and sentences from them.

Normal And Abnormal Tissue Identification System And Method For Medical Images Such As Digital Mammograms

US Patent:
6310967, Oct 30, 2001
Filed:
Apr 29, 1998
Appl. No.:
9/069473
Inventors:
John J. Heine - New Port Richey FL
Laurence P. Clarke - Temple Terrace FL
Stanley R. Deans - Tampa FL
Richard Paul Stauduhar - Kailua Kona HI
David Kent Cullers - Menlo Park CA
Assignee:
University of South Florida - Tampa FL
International Classification:
G06K 900
US Classification:
382128
Abstract:
A system and method for analyzing a medical image to determine whether an abnormality is present, for example, in digital mammograms, includes the application of a wavelet expansion to a raw image to obtain subspace images of varying resolution. At least one subspace image is selected that has a resolution commensurate with a desired predetermined detection resolution range. A functional form of a probability distribution function is determined for each selected subspace image, and an optimal statistical normal image region test is determined for each selected subspace image. A threshold level for the probability distribution function is established from the optimal statistical normal image region test for each selected subspace image. A region size comprising at least one sector is defined, and an output image is created that includes a combination of all regions for each selected subspace image. Each region has a first value when the region intensity level is above the threshold and a second value when the region intensity level is below the threshold.

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