LIP READING USING CNN FOR TURKISH NUMBERS

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Dijital Çağda İşletmecilik Dergisi
Volume:5 Issue:2
LIP READING USING CNN FOR TURKISH NUMBERS

LIP READING USING CNN FOR TURKISH NUMBERS

Authors : Hadı POURMOUSA, Üstün ÖZEN

Pages : 155-160

Doi:10.46238/jobda.1100903

View : 16 | Download : 16

Publication Date : 2022-12-31

Article Type : Research Paper

Abstract :Recently, lip reading has become one of the most important fields of study in the field of artificial intelligence. In this study, lip reading process was performed in Turkish language using convolutional neural networks insert ignore into journalissuearticles values(CNNs);. For this purpose, people were asked to record the numbers video insert ignore into journalissuearticles values(61 video);, and 9 video also collected from YouTube. The dataset was collected for 20 numbers. In this study, only the video was used and the sounds were completely removed. Due to the small dataset, it was tried to reproduce with different methods. The model was trained on the train dataset and 56.25% success was achieved on the test dataset.
Keywords : Lip reading, Turkish language, deep learning, convolutional neural networks

ORIGINAL ARTICLE URL

VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.