Akademik Veri Yönetim Sistemi
PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, cilt.24, sa.2, ss.180-184, 2018 (ESCI)
The aim of speech recognition is to recognize human speech and convert it to written text. Past works in speech recognition technology leaded to significant improvements and this ensured the use of the technology in various practical applications. Recently, the demand for mobile applications has significantly increased when the smart phones and tablets have been introduced to the market. As a result, the adaptation of speech recognition to mobile devices has been an important issue since the technology has many applications in these devices. In this study, we aim to develop a Turkish speech recognition system for mobile devices. For this purpose, we collected a new database that includes recordings from various different speakers and smart phones. The performance of this system is tested using three speech recognition applications; i) Television control ii) Short message iii) General text dictation. In the experiments, we achieved 95% recognition performance in the grammar based television control application. The performance in short message and general text dictation applications are approximately %40 and %60, respectively.