Abstract: There is provided a computer-implemented method of training a speech-to-speech (S2S) machine learning (ML) model for adapting at least one voice attribute of speech, comprising: creating an S2S training dataset of a plurality of S2S records, wherein an S2S record comprises: a first audio content comprising speech having at least one first voice attribute, and a ground truth label of a second audio content comprising speech having at least one second voice attribute, wherein the first audio content and the second audio content have the same lexical content and are time-synchronized, and training the S2S ML model using the S2S training dataset, wherein the S2S ML model is fed an input of a source audio content with at least one source voice attribute and generates an outcome of the source audio content with at least one target voice attribute.
Type:
Grant
Filed:
April 28, 2022
Date of Patent:
December 19, 2023
Assignee:
Meaning.Team, Inc
Inventors:
Yishay Carmiel, Lukasz Wojciak, Piotr Zelasko, Jan Vainer, Tomas Nekvinda, Ondrej Platek
Abstract: There is provided a computer-implemented method of training a speech-to-speech (S2S) machine learning (ML) model for adapting at least one voice attribute of speech, comprising: creating an S2S training dataset of a plurality of S2S records, wherein an S2S record comprises: a first audio content comprising speech having at least one first voice attribute, and a ground truth label of a second audio content comprising speech having at least one second voice attribute, wherein the first audio content and the second audio content have the same lexical content and are time-synchronized, and training the S2S ML model using the S2S training dataset, wherein the S2S ML model is fed an input of a source audio content with at least one source voice attribute and generates an outcome of the source audio content with at least one target voice attribute.
Type:
Application
Filed:
April 28, 2022
Publication date:
November 2, 2023
Applicant:
Meaning.Team, Inc
Inventors:
Yishay CARMIEL, Lukasz WOJCIAK, Piotr ZELASKO, Jan VAINER, Tomas NEKVINDA, Ondrej PLATEK