JOINT QUANTIZATION OF SPEECH SUBFRAME VOICING METRICS AND FUNDAMENTAL FREQUENCIES

Patent №

US 6,199,037

Granted

2001-03-06

Filed 1997

Owner

DIGITAL VOICE SYSTEMS, INC.

Lab

AI components

2

nlp · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08985262

Speech is encoded into a frame of bits. A speech signal is digitized into a sequence of digital speech samples that are then divided into a sequence of subframes. A set of model parameters is estimated for each subframe. The model parameters include a set of voicing metrics that represent voicing information for the subframe. Two or more subframes from the sequence of subframes are designated as corresponding to a frame. The voicing metrics from the subframes within the frame are jointly quantized. The joint quantization includes forming predicted voicing information from the quantized voicing information from the previous frame, computing the residual parameters as the difference between the voicing information and the predicted voicing information, combining the residual parameters from both of the subframes within the frame, and quantizing the combined residual parameters into a set of encoded voicing information bits which are included in the frame of bits. A similar technique is used to encode fundamental frequency information.

AI classification

Speech1.00
Natural language1.00
Machine learning0.08
Knowledge representation0.00
Vision0.00
Planning0.00
Evolutionary computation0.00
AI hardware0.00

Ownership

DIGITAL VOICE SYSTEMS, INC.

assignment · 92650468

Assignors

HARDWICK, JOHN C.

On an employer assignment, the assignors are typically the inventors.

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