A Chinese Prosodic Structure Prediction Method Integrating Syntactic Semantic Pragmatic Information

Abstract

The invention belongs to the field of speech synthesis, and particularly relates to a Chinese rhythm structure prediction method for combining with syntax semantic pragmatic information. The method aims to combine the syntax semantic pragmatic information with a rhythm structure prediction model through the analysis of multidimensional features which affect the rhythm structure and a relevant action mode thereof so as to improve the nature degree of the speech synthesis. The method comprises the following steps that: according to semantic role tagging, carrying out sentence block division; carrying out grammatical analysis on the sentence block, and tagging the degree of tightness of the relationship of a syntactic structure; carrying out preliminary segmentation on the rhythm structure; tagging the information structure of a noun composition in the sentence; tagging pragmatic information; and according to the pragmatic information, regulating the rhythm structure subjected to preliminary segmentation. By use of the method, deep syntax and semantic role tagging and the pragmatic information are introduced into the text tagging system, text tagging, feature extraction and rhythm structure prediction are realized through a way of combining statistics with rules, and the accuracy of a rhythm prediction model is effectively improved.

Description

technical field [0001] The invention belongs to the field of speech synthesis, and in particular relates to a method for predicting Chinese prosodic structure by integrating syntax, semantics, and pragmatic information. Background technique [0002] Predicting the prosodic hierarchical structure from text information is the key to speech synthesis, which plays an important role in improving the naturalness and expressiveness of synthesized speech and building an intelligent human-computer dialogue system. [0003] There are still many problems in prosodic level prediction that have not been well resolved. First of all, the description of the text features and the relationship between factors that affect the prosodic structure is not accurate enough, and secondly, the accuracy of a single model is difficult to achieve the ideal state. Judging from the existing research on prosodic structure prediction in Chinese, there are many technical studies on prosodic modeling methods,...

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Problems solved by technology

However, these semantic analyzes are word-based, have limited effect on prosodic structures, do not take into account the semantic role of higher-level syntactic chunks, and do not analyze pragmatic factors

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