Method for improving text and voice matching efficiency

Abstract

The invention relates to a method of improving the efficiency of a text matching with voice matching, which includes the following steps: Step 1: a voice recognition software can be used for identifying an audio file to get a text with a timestamp; Step 2: the text with a timestamp is compared with a text input by a user; Step 3: the time-stamp of the text with a timestamp can be endowed to the text input by the user. With high efficiency, the method does not need the manual intervention and can match the voice and text files in a largebatch way.

Description

technical field [0001] The invention relates to a method for improving text and voice matching efficiency. Background technique [0002] When practicing foreign language listening, we need to know the corresponding text of the foreign language being played, so as to know the degree of our understanding. For example, the computer is playing a recording of "how are you dong?" Some people may only understand one or two words. If they don't see the text of "how are you dong?", they don't know what they understand. degree. There are some programs that can help people match text and speech, but these programs require human intervention, that is, manually copying and pasting text. The general steps are as follows: first listen to a piece of audio, look at the time, write down the time difference between the end of the audio and the beginning of the audio, then select, copy and paste the text, and insert the time after the text (such as the lyrics file format, "how are you doing? ...

AI Technical Summary

Problems solved by technology

There are some programs that can help people match text and speech, but these programs require human intervention, that is, copying and pasting text by hand

The general steps are as follows: first listen to a piece of audio, look at the time, write down the time difference between the end of the audio and the beginning of the audio, then select, copy and paste the text, and insert the time after the text (such as the lyrics file format, "how are you doing? [ 00:21.18]"), which is tedious, inefficient, and error-prone

[0003] According to the research of the inventor, the reason for the low matching efficiency is human intervention. The two bottleneck steps of the existing method are to manually determine the end of the sentence and record the time difference , and actions such as selecting, copying, and pasting text

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