Field-adaptive automatic open class subtitle generating system and field-adaptive automatic open class subtitle generating method

Abstract

Disclosed are a field-adaptive automatic open class subtitle generating system and a field-adaptive automatic open class subtitle generating method. The field-adaptive automatic open class subtitle generating system comprises a preprocessing module, a model modification module, an audio recognizing module, a recognition result feedback module and a subtitle generating module, wherein the preprocessing module is used for preprocessing videos, texts and keywords; the model modification module contains text data obtained in the preprocessing process and is used for modifying a language module in a recognizing process; the audio recognizing module is used for recognizing uploaded videos; the recognition result feedback module is used for extracting keywords from recognition results, and the keywords can be called into the preprocessing process to be processed by the aid of a method for processing the keywords input by a user; the subtitle generating module is used for standardizing the final recognition result during a subtitle generating process and adding information like timer shafts so as to obtain real subtitles. The field-adaptive automatic open class subtitle generating system and the field-adaptive automatic open class subtitle generating method have the advantages that difficulty in generating the subtitles for open classes is solved, load on manpower for manually generating the subtitles is relieved via automatic processing, and great convenience is brought to people having English open classes.

Description

Technical field [0001] The invention relates to a field-adaptive system and method for automatically generating open class captions, belonging to the technical field of multimedia and speech recognition. Background technique [0002] With the popularization of informatization, there are more and more open resources. Taking the curriculum resources of colleges and universities as an example, some world-class schools have successively launched video public courses in various fields, providing more convenient opportunities for learning related knowledge. But the fly in the ointment is that various videos often don't have subtitles. Due to language barriers, this brings great difficulties to learning. The existing common solution is to use a dedicated subtitle generation team to add subtitles to related videos. This process is often time-consuming and labor-intensive. At the same time, videos such as public classes often belong to certain specialized fields, such as computers and la...

AI Technical Summary

Problems solved by technology

[0003] Speech recognition technology started in the 1950s. After more than half a century of development, it has made remarkable achievements. Especially in the past ten years, it has gradually stepped out of the laboratory and realized commercialization. There are a large number of mature systems at home and abroad. Of course Using these mature systems, subtitle information can be obtained from the video of the public class, but due to the extensive knowledge of the design of the public class and a lot of professional vocabulary, the final recognition accuracy is not ideal

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