Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/158753
Title: | Training algorithm for speaker-independent voice recognition systems using HTK |
Authors: | Nikalaenka, K. Hetsevich, Y. |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение |
Issue Date: | 2016 |
Publisher: | Minsk: Publishing Center of BSU |
Abstract: | This paper presents the training algorithm by means of which everyone can develop their own speakerindependent voice recognition system. HTK toolkit is chosen as main tool for recognition process. Through this algorithm user may create voice recognition systems in a short period of time and automatically. Although a usershould prepare input data for training the recognition system. Test recognition systems, working on developed algorithm, have appeared to reach decent accuracy for the Belarusian language and show up themselves viable. |
URI: | http://elib.bsu.by/handle/123456789/158753 |
Appears in Collections: | 2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016) |
Files in This Item:
File | Description | Size | Format | |
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Nikalaenka_Hetsevich.pdf | 654,16 kB | Adobe PDF | View/Open |
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