首页> 外国专利> METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR PERFORMING TEXT-TO-SPEECH SYNTHESIS USING MACHINE LEARNING BASED ON SEQUENTIAL PROSODY FEATURE

METHOD AND COMPUTER READABLE STORAGE MEDIUM FOR PERFORMING TEXT-TO-SPEECH SYNTHESIS USING MACHINE LEARNING BASED ON SEQUENTIAL PROSODY FEATURE

机译:用于使用基于顺序韵律特征的机器学习进行文本与语音合成的方法和计算机可读存储介质

摘要

The present disclosure relates to a text-to-speech synthesis method using machine learning based on sequential prosody features. Text-to-speech synthesis using machine learning based on sequential prosody features includes the steps of receiving input text, receiving sequential prosody features, and artificial neural network text-to-speech synthesis using input text and received sequential prosody features and generating output speech data for the input text in which the received sequential prosody features are reflected by input to the model.
机译:本公开涉及一种基于顺序韵律特征的机器学习的文本到语音合成方法。 使用基于顺序韵律特征的机器学习的文本到语音合成包括使用输入文本接收顺序韵律特征,接收顺序韵律特征和人工神经网络文本到语音合成的步骤,并接收顺序韵律特征和产生输出语音数据 对于输入文本,其中接收的顺序韵律特征被输入到模型的输入反射。

著录项

  • 公开/公告号KR20220000391A

    专利类型

  • 公开/公告日2022-01-03

    原文格式PDF

  • 申请/专利权人 네오사피엔스 주식회사;

    申请/专利号KR1020210184938

  • 发明设计人 김태수;이영근;

    申请日2021-12-22

  • 分类号G10L13/10;

  • 国家 KR

  • 入库时间 2022-08-24 23:25:25

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