Detection of endpoint for segmentation between consonants and vowels in aphasia rehabilitation software based on artificial intelligence scheduling / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 886-899, 2009.
Article
in Chinese
| WPRIM
| ID: wpr-294547
ABSTRACT
For the purpose of improving the efficiency of aphasia rehabilitation training, artificial intelligence-scheduling function is added in the aphasia rehabilitation software, and the software's performance is improved. With the characteristics of aphasia patient's voice as well as with the need of artificial intelligence-scheduling functions under consideration, the present authors have designed a set of endpoint detection algorithm. It determines the reference endpoints, then extracts every word and ensures the reasonable segmentation points between consonants and vowels, using the reference endpoints. The results of experiments show that the algorithm is able to attain the objects of detection at a higher accuracy rate. Therefore, it is applicable to the detection of endpoint on aphasia-patient's voice.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Aphasia
/
Rehabilitation
/
Speech Intelligibility
/
Speech Production Measurement
/
Verbal Behavior
/
Phonetics
/
Algorithms
/
Software
/
Artificial Intelligence
/
Stroke
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2009
Type:
Article
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