Processing system for precisely completing continuous natural speech textualization and method for precisely completing continuous natural speech textualization

Abstract

The invention belongs to the technical field of speech textualization, and particularly relates to a processing system for precisely completing continuous natural speech textualization and a method for precisely completing the continuous natural speech textualization. The processing system comprises a cloud speech recognition engine and a speech recognition post-modification platform, wherein the voice recognition post-modification platform is connected with the cloud voice recognition engine. The processing system and the method have the following effects that the audio and video speech information is collected in real time; the information collection is uninterrupted; the grade reaches the millisecond stage; the collection rate reaches 100 percent; the information loss rate is 0; and the accuracy of the recorded characters corresponding to the speech is about 100%. A scientific and convenient humanized man-computer interaction system for speech textualization is built; 100 percent of conversion rate of the speech textualization and 99.7 percent or more of accuracy are realized; and an electronic integration file integrating three dimensions of audio, video and characters is created.

Description

technical field [0001] The invention belongs to the technical field of textualization of speech, and in particular relates to a processing system and method for accurately completing textualization of continuous natural speech. Background technique [0002] With the continuous development of information processing technology, human-computer interaction in natural language has become a reality. The key to realizing human-computer interaction is to accurately understand the natural language instructions issued or obtained by users and perform corresponding operations. After the user issues or obtains a natural language instruction, the instruction is converted into a voice text. For more than 100 years in our country, how to convert continuous natural speech into text shorthand in real time has been a problem that people continue to explore and study. [0003] The main carrier of the current shorthand is the computer. However, after years of practice, the computer shorthand ...

AI Technical Summary

Problems solved by technology

[0012] (2) There are many local dialects of Chinese phonetics

[0015] (3) The level of Mandarin varies from person to person, and the correct rate of speech recognition also varies from person to person, not 100% accurate

Background noise accompanied by human voice, physical noise of transmission equipment, too strong or too weak voice input volume will all affect the accuracy of speech recognition

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