Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Анотація та врахування мовних збоїв у задачі автоматичного розпізнавання сонтанної української мови

Pilipenko V.1, Ladoshko O.2
1 Speech Science and Technology Department, International Research and Training Center of Information Technologies and Systems «CyberMova»
2 National Technical University of Ukraine «Kiev Polytechnic Institute»

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UDC: 004.934
Publication Language: Russian
Stuc. intelekt. 2010; 15(3):238-248

Abstract: The paper is about the problem of disfluencies effect on the processing of automatic recognition of spontaneous Ukrainian speech. It is considered by example of a computerized stenographer. It makes the text from sound records based on the speech recognition system aided by human. Large vocabulary (more than 10K words) continuous speech recognition system for a number of speakers is used to process recorded files. The paper investigates and classifies the basic types of disfluencies in spontaneous Ukrainian speech. On the basis of disfluencies annotation and transcript correction the cleaning of the speech data was provided. It was made to improve the recognition rate in automatic speech recognition possible.

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