Audio exchange method and system of language semantics and coded graphics

Abstract

The invention provides an audio exchange method and system of language semantics and coded graphics. The audio exchange method and system of the language semantics and the coded graphics solve the technical problems of data response errors and poor real-time performance caused by complex semantics in language translation in the prior art. The audio exchange method includes the steps that speech mapping structures of each language are formed by using the minimum phoneme sequence, and semantic inter-language conversion is completed through each speech mapping structure; and the minimum phoneme which forms the smallest short audio segment in the language constitution is used as a basic data exchange unit for semantic conversion between languages, the minimum phoneme is used as the coding basis for data exchange, the basic structure of speech recognition is changed, the coding complexity and accuracy of audio content in the languages are optimized, in the encoding process of language audio, the complex audio features formed by coupling the complex information of tones, scales, ranges and the like in the language segments are avoided, and the speech recognition rate is guaranteed. The mapping structure of speech coding and character coding formed by the minimum phoneme improves the efficiency of data exchange in language translation.

Description

technical field [0001] The invention relates to the field of information exchange, in particular to a language semantic audio exchange method, audio exchange system, and coded graphics. Background technique [0002] The current language translation is mainly composed of speech recognition, semantic analysis and sentence synthesis. Speech recognition uses a high-sensitivity sensor to extract the audio signal set corresponding to the text in the sentence from the frequency domain or time domain speech signal stream of the original language. Analyze and use hidden Markov model (HMM), self-learning model, artificial neural network (ANN) and other models to identify and quantify the text sequence and semantic meaning in the audio signal set to determine the expression content as much as possible, and sentence synthesis is based on the expression content The recognition and quantification data of the target language form a set of audio signals or a set of word sequences. In this ...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention is committed to providing a language semantic audio exchange method and an audio exchange system to solve the technical problems in the prior art that the semantics are complex during language translation, resulting in poor data response and real-time performance

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