Chinese rhythm boundary prediction method based on graph-to-sequence

A prosodic boundary prediction, prosodic boundary technology, applied in speech synthesis, speech analysis, instruments, etc., can solve the problem of not combining temporal information and spatial information.

Pending Publication Date: 2020-11-17
TIANJIN UNIV
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Problems solved by technology

At present, the study of prosodic boundary prediction in Chinese speech synt...

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  • Chinese rhythm boundary prediction method based on graph-to-sequence
  • Chinese rhythm boundary prediction method based on graph-to-sequence
  • Chinese rhythm boundary prediction method based on graph-to-sequence

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Embodiment Construction

[0024] The present invention will be further described and proved in detail below in combination with the experimental process and experimental results.

[0025] Based on the basic framework of the current general sequence prediction Bilstm-CRF, the present invention proposes the representation of text space information from the perspective of text analysis, and on this basis, combines the time series information and space information of the text for the first time To improve the results of prosodic boundary prediction in speech synthesis. The main points of the specific technical plan are divided into the following three parts:

[0026] (1) Basic structure of sequence prediction

[0027] At present, in the prosody prediction module of speech synthesis, the most common method in the industry is Bilstm-CRF. Among them, the text embedding vector input by Bilstm outputs the features extracted in the time domain. The output of Bilstm is also the input of CRF. According to the c...

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Abstract

The invention discloses a Chinese rhythm boundary prediction method based on graph-to-sequence, which specifically comprises the following four parts: (1) word embedding representation characteristics: converting the characteristics into digital representation, so that the technology of mapping words into real number field vectors is called word embedding; (2) a text time sequence feature extraction model, wherein annotation of rhythm boundaries is sequence annotation in the time dimension; (3) text space information: inputting a text sequence, processing the text sequence into a graphic structure, and processing a dependency relationship between rhythm boundaries by adding space information; and (4) combining spatial and temporal features. Time sequence information and space information of the text are combined together to serve as a new feature, and the accuracy of the final rhythm boundary is improved.

Description

technical field [0001] The invention belongs to the field of speech synthesis, and mainly relates to a technique for improving the accuracy rate of text prosodic boundary prediction in speech synthesis, so as to provide better conditions for subsequent speech synthesis to synthesize natural speech. Background technique [0002] Text-to-speech (TTS) is a text-to-speech technology designed to enable machines to generate artificial speech. A classic statistical parametric speech synthesis (SPSS) system usually consists of three modules, including: a front-end module (converting text into language features), an acoustic model (mapping language features into acoustic features) and a vocoder (generating voice waveform). Over the past few decades, statistical parametric speech synthesis has been complicated to use due to the artificially designed nature and cumbersome inter-module communication. However, with the development of deep learning in recent years, end-to-end speech syn...

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Application Information

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IPC IPC(8): G10L13/02G10L13/08G10L25/30
CPCG10L13/02G10L13/08G10L25/30
Inventor 陈帅婷王龙标本多清志
Owner TIANJIN UNIV
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