Audio noise-tolerant sentence segmentation processing method and system

Abstract

The invention relates to an audio noise tolerance punctuation processing method and a system. The method comprises steps that multiple framing segments are acquired according to an audio; an energy threshold is acquired according to an energy value of each framing segment, a framing segment with an energy value surpassing the energy threshold Et is acquired from the framing segments according to the energy threshold, the frame segment with the energy value surpassing the energy threshold Et is taken as a middle sentence frame to scan a front sequence frame or a back sequence frame, if an energy threshold of the front sequence frame or the back sequence frame is smaller the set energy threshold Et, the frame with the energy threshold smaller than the set energy threshold Et and the middle sentence frame are merged according to the start order into an independent sentence, entropy spectrum analysis on each independent sentence is then carried out, and a final analysis sentence is acquired. Through the method, a problem of automatic punctuation incapability existing in a caption corresponding process in the prior art is solved, recorded audios and videos can not only be processed, but also audios and videos which are presently played can be further processed, for network broadcast flows, network broadcast voice cutting can be automatically carried out, subsequent links such as listening and writing links can be conveniently processed parallelly, and the processing time is shortened.

Description

technical field [0001] The invention relates to the technical field of voice and subtitle processing, in particular to a method and system for processing audio noise-tolerant sentence segmentation. Background technique [0002] At present, in the field of subtitle production, sentence segmentation is mainly performed manually. The premise of artificial voice segmentation is to listen to all the voices, and mark the start and end points of a sentence by tapping shortcut keys while dictating. Due to the delay of slapping, the obtained start point and end point are misaligned and need to be adjusted manually. The whole process takes a lot of time. For example, 30 minutes of audio requires 40 minutes to 1 hour of sentence segmentation time, which is extremely low in productivity. In the field of webcasting, if sentences are not segmented and dictation is performed manually, it is difficult to parallelize, and the speed of human dictation will be slower than the speed of live b...

AI Technical Summary

Problems solved by technology

In this way, the problem of inability to automatically segment sentences and high noise in the existing subtitle correspondence process is solved

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