Expressive text-to-speech system and method

a text-to-speech and expression technology, applied in the field of method and system for text-to-speech synthesis, can solve the problems of spss degradation, difficult to transfer speech characteristics into the synthesised speech, and lack of flexibility

Pending Publication Date: 2021-07-22
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The invention provides better way for people who want more creatively or have greater control over their own voice during conversations with others.

Problems solved by technology

Technological Problem addressed in this patented technical problem relates to developing a new type of sound recognition technology called Deep Neural Network Based Acousto Speaker System(DSAS) that allows users to freely switch between different voices while maintaining high intelligence during conversations. Existing methods either use static rules or dynamic programming techniques, making learning from scratchy memories challenging.

Method used

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  • Expressive text-to-speech system and method
  • Expressive text-to-speech system and method
  • Expressive text-to-speech system and method

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Embodiment Construction

[0027]Embodiments relate to a method and system for text-to-speech synthesis, and in particular to a system which enables expressive speech to be synthesised from input text. The system enables the style of the output expressive speech to be controlled, as well as other speech characteristics such as speaking rate and pitch. Thus, embodiments provide a controllable and customisable system for generating expressive synthetic speech from text.

[0028]In an embodiment a system for synthesising expressive speech, includes an interface for receiving an input text for conversion to speech; and at least one processor to generate, using an expressivity characterisation module, a plurality of expression vectors, where each expression vector is a representation of prosodic information in a reference audio style file; and synthesise expressive speech from the input text, using an expressive acoustic model including a deep convolutional neural network that is conditioned by at least one of the plura

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Abstract

A system for synthesising expressive speech includes: an interface configured to receive an input text for conversion to speech; a memory; and at least one processor coupled to the memory. The processor is configured to generate, using an expressivity characterisation module, a plurality of expression vectors, wherein each expression vector is a representation of prosodic information in a reference audio style file, and synthesise expressive speech from the input text, using an expressive acoustic model comprising a deep convolutional neural network that is conditioned by at least one of the plurality of expression vectors.

Description

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Claims

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Application Information

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Owner SAMSUNG ELECTRONICS CO LTD
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