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Title:
CONTROLLED TRAINING AND USE OF TEXT-TO-SPEECH MODELS AND PERSONALIZED MODEL GENERATED VOICES
Document Type and Number:
WIPO Patent Application WO/2022/094740
Kind Code:
A1
Abstract:
Systems are configured for generating text-to-speech data in a personalized voice by training a neural text-to-speech machine learning model on natural speech data collected from a particular user, validating the identity of the user from which data is collected, and authorizing requests from users to use the personalized voice in generating new speech data. The systems are further configured to train a machine learning model as a neural text-to-speech model with generated personalized speech data.

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Inventors:
ZHAO SHENG (US)
JIANG LI (US)
HUANG XUEDONG (US)
QIN LIJUAN (US)
HE LEI (US)
DING BINGGONG (US)
YAN BO (US)
MA CHUNLING (US)
OBEROI RAUNAK (US)
Application Number:
PCT/CN2020/126047
Publication Date:
May 12, 2022
Filing Date:
November 03, 2020
Export Citation:
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Assignee:
MICROSOFT TECHNOLOGY LICENSING LLC (US)
ZHAO SHENG (CN)
JIANG LI (US)
HUANG XUEDONG (US)
QIN LIJUAN (US)
HE LEI (CN)
DING BINGGONG (CN)
YAN BO (US)
MA CHUNLING (CN)
OBEROI RAUNAK (IN)
International Classes:
G10L13/02
Domestic Patent References:
WO2019191251A12019-10-03
Foreign References:
CN111613224A2020-09-01
CN110060656A2019-07-26
CN110379407A2019-10-25
CN111625809A2020-09-04
CN111489734A2020-08-04
CN111009233A2020-04-14
CN110767210A2020-02-07
Attorney, Agent or Firm:
SHANGHAI PATENT & TRADEMARK LAW OFFICE, LLC (CN)
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