VOICE CONVERSION USING INTERPOLATED SPEECH UNIT START AND END-TIME CONVERSION RULE MATRICES AND SPECTRAL COMPENSATION ON ITS SPECTRAL PARAMETER VECTOR

Patent №

US 8,010,362

Granted

2011-08-30

Filed 2008

Owner

KABUSHIKI KAISHA TOSHIBA

Lab

AI components

3

nlp · vision · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12017740

A voice conversion rule and a rule selection parameter are stored. The voice conversion rule converts a spectral parameter vector of a source speaker to a spectral parameter vector of a target speaker. The rule selection parameter represents the spectral parameter vector of the source speaker. A first voice conversion rule of start time and a second voice conversion rule of end time in a speech unit of the source speaker are selected by the spectral parameter vector of the start time and the end time. An interpolation coefficient corresponding to the spectral parameter vector of each time in the speech unit is calculated by the first voice conversion rule and the second voice conversion rule. A third voice conversion rule corresponding to the spectral parameter vector of each time in the speech unit is calculated by interpolating the first voice conversion rule and the second voice conversion rule with the interpolation coefficient. The spectral parameter vector of each time is converted to a spectral parameter vector of the target speaker by the third voice conversion rule. A spectrum acquired from the spectral parameter vector of the target speaker is compensated by a spectral compensation filter or power ratio. A speech waveform is generated from the compensated spectrum.

AI classification

Speech1.00
Vision0.83
Natural language0.61
Machine learning0.07
Planning0.01
AI hardware0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

KABUSHIKI KAISHA TOSHIBA

assignment · 204000944

Assignors

TAMURA, MASATSUNE, KAGOSHIMA, TAKEHIKO

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

From the same owner

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