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Intelligent human-machine conversation framework with speech-to-text and text-to-speech

  • US 10,565,994 B2
  • Filed: 11/30/2017
  • Issued: 02/18/2020
  • Est. Priority Date: 11/30/2017
  • Status: Active Grant
First Claim
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1. A system comprising:

  • a speech-to-text processor to receive an input of speech including one or more words generated by a human and to output data including text, sentiment information, and other parameters information corresponding to the speech input;

    a processor to generate a reply to the speech input, the reply including a textual component, sentimental information associated with the textual component, and contextual information associated with the textual component; and

    a text-to-speech processor to receive the textual component, sentimental information, and contextual information of the reply and to generate, based on the received textual component and its associated sentimental information and contextual information of the reply, a speech output including one or more spoken words, the spoken words to be presented with at least one of a pace, a tone, a volume, an urgency, a rate, an accent pattern, and an emphasis representative of the sentimental information and contextual information associated with the textual component of the reply, wherein the at least one of the pace, the tone, the volume, the urgency, the rate, the accent pattern, and the emphasis of the speech output is determined on a word by word basis and a sentence by sentence basis for the speech output.

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