Voice language recognition method and system based on confidence degree
A language recognition and confidence technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of wrong recognition and low speech recognition efficiency, and achieve the effect of improving accuracy and improving speech recognition efficiency.
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Embodiment 1
[0044] This embodiment provides a speech language recognition method based on confidence, such as figure 1 shown, including steps:
[0045] S11: extracting a voice segment from each voice segment as a preset voice segment, comparing it with a preset language database, and obtaining language information matching the preset voice segment;
[0046] S12: According to the language information, obtain the language confidence and confidence average of each speech segment, and judge whether the confidence average is greater than a preset reliability threshold, and if so, use the current language as the default language of the voice information;
[0047] S13: If not, filter the speech segments according to the preset filtering conditions until the average confidence value of the language is greater than the preset threshold, and obtain the filtered speech segments, and go to step S11.
[0048] In this embodiment, before step S11, it also includes:
[0049] Step S101: receiving input ...
Embodiment 2
[0076] This embodiment provides a speech language recognition system based on confidence, such as figure 2 shown, including:
[0077] Language matching module 22: for extracting a voice segment from each voice segment as a preset voice segment, comparing it with the preset language database, and obtaining language information matching the preset voice segment.
[0078] Language identification module 23: used to obtain the language confidence and confidence mean value of each speech segment according to the language information, and judge whether the confidence mean value is greater than a preset reliability threshold, and if so, use the current language as the voice message default language,
[0079] Screening module 24: for if not, then by preset screening conditions, screen each speech segment until the language confidence mean value is greater than the preset threshold, and obtain the screened speech segment, turn to to the language matching module.
[0080] In this emb...
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