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Cleft palate voice glottal stop automatic identification algorithm and device

A technology for automatic recognition and cleft palate speech, applied in speech recognition, speech analysis, instruments, etc.

Inactive Publication Date: 2015-10-21
SICHUAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the evaluation of cleft palate speech is realized by the subjective judgment of professional phoneticians, which is easily affected by factors such as the clinical experience and subjective state of the phonetician.

Method used

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  • Cleft palate voice glottal stop automatic identification algorithm and device
  • Cleft palate voice glottal stop automatic identification algorithm and device
  • Cleft palate voice glottal stop automatic identification algorithm and device

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Embodiment Construction

[0059] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0060] Any feature disclosed in this specification, unless specifically stated, can be replaced by other alternative features that are equivalent or have similar purposes. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0061] Such as figure 1 , firstly, the input cleft speech is preprocessed by framing and windowing. Since the glottal stop only occurs in the initial consonant part of the syllable, the algorithm first realizes the segmentation of the initial consonant part, and the automatic recognition algorithm only performs the speech frame of the initial consonant part.

[0062] Extract the feature value of the speech signal of the initial consonant part.

[0063] In this algorithm, the pattern recognition cla...

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PUM

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Abstract

The invention discloses a cleft palate voice glottal stop automatic identification algorithm and device, relates to the technical field of voice analysis and identification, and aims to provide a glottal stop automatic identification method and device. A computer is adopted for automatically identifying cleft palate voice glottal stops, effective and objective auxiliary diagnosis is provided to patients and voice teachers, and wide popularization of cleft palate voice assessment and voice treatment is facilitated. According to the technical key points of the invention, the method comprises the steps of: 1, collecting voice signals of syllables to be tested; 2, carrying out initial and final division on the voice signals of syllables, and retaining initial voice signals; 3, extracting characteristic values of the initial voice signals; and 4, sending the characteristic values into trained identification models, wherein the identification models judge whether glottal stops exist in the voice signals of syllables according to the characteristic values.

Description

technical field [0001] The invention relates to the technical field of speech analysis and recognition, in particular to an algorithm and device for automatic recognition of glottal stops in cleft palate speech. Background technique [0002] Cleft lip and palate is the most common congenital craniofacial deformity, and my country has the most cleft lip and palate population in the world. Different from cleft lip, the biggest impact of cleft palate is not only the defect of facial shape, but also due to the defects and deformities of bone tissue and soft tissue in the palate to different degrees, it will cause functional impairments such as speech, language, sucking, and eating in patients, which seriously affects the population. Quality of Life. Usually, after one-stage cleft palate repair surgery, there are still a large number of patients with varying degrees of speech impairment. The treatment of cleft palate speech disorder is an important part of the cleft palate sequ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/02G10L15/06
Inventor 何凌谭洁尹恒刘奇郭春丽严苗
Owner SICHUAN UNIV
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