Method, device, and computer readable storage medium for text-to-speech synthesis using machine learning on basis of sequential prosody feature

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United States of America Patent

PATENT NO 11929059
APP PUB NO 20200394998A1
SERIAL NO

17004460

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Abstract

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The present disclosure relates to a text-to-speech synthesis method using machine learning based on a sequential prosody feature. The text-to-speech synthesis method includes receiving input text, receiving a sequential prosody feature, and generating output speech data for the input text reflecting the received sequential prosody feature by inputting the input text and the received sequential prosody feature to an artificial neural network text-to-speech synthesis model.

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NEOSAPIENCE INC#1208 16 MAEHEON-RO SEOCHO-GU SEOUL 06771

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  • 2020 Application Filing Year
  • G06N Class
  • 17381 Applications Filed
  • 9288 Patents Issued To-Date
  • 53.44 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances2020202120222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kim, Taesu Suwon-si Gyeonggi-do, KR 63 3039
Lee, Younggun Seoul, KR 14 115

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Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges11654401 - 10050100150200250300350400450500550600650700750800850900950100010501100115012001250

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