A speaker independent isolated word recognition system for Turkish

Tüzün, Ömer Burak


A speaker independent isolated Turkish word recognation system.
Unal , Atilla Fatih; Department of Computer Engineering (1983)
A semi-automatic text-based semantic video annotation system for Turkish facilitating multilingual retrieval
Kucuk, Dilek; Yazıcı, Adnan (2013-07-01)
It is commonly acknowledged that ever-increasing video archives should be conveniently indexed with the conveyed semantic information to facilitate later video retrieval. Domain-independent semantic video indexing is usually carried out through manual means which is too time-consuming and labor-intensive to be employed in practical settings. On the other hand, fully automated approaches are usually proposed for very specialized domains such as team sports videos. In this paper, we propose a generic text-bas...
A Text-Based Fully Automated Architecture for the Semantic Annotation and Retrieval of Turkish News Videos
Kucuk, Dilek; Yazıcı, Adnan (2010-07-23)
Video texts are known to constitute an important source of information for semantic summaries of video archives. In this study, we propose a fully automated architecture for semantic annotation and later retrieval of Turkish news videos based on the corresponding video texts. At the core of the architecture is a named entity recognizer, the output of which on video texts is used as semantic annotations for the corresponding videos. The architecture also comprises components for news story segmentation, slid...
A Context-aware reminder system based on publish and subscribe model
Çağlar, Önder; Koçyiğit, Altan; Department of Information Systems (2013)
The usage of computing technologies to build smart and interactive human-centric systems that support our daily life activities is gaining popularity day by day. Pervasive computing seems to be a new computing revolution era in the near future. In this sense, context-aware reminder systems stand out as interesting and stimulating research topic. Such systems are used to remind important events and activities properly at the right time and at the right place. In this context, the system detects the user’s en...
A Low cost learning based sign language recognition system
Akış, Abdullah Hakan; Akar, Gözde; Department of Electrical and Electronics Engineering (2018)
Sign Language Recognition (SLR) is an active area of research due to its important role in Human Computer Interaction (HCI). The aim of this work is to automatically recognize hand gestures consisting of the movement of hand, arm and fingers. To achieve this, we studied two different approaches, namely feature based recognition and Convolutional Neural Networks (CNN) based recognition. The first approach is based on segmentation, feature extraction and classification whereas the second one is based on segme...
Citation Formats
Ö. B. Tüzün, “A speaker independent isolated word recognition system for Turkish,” Middle East Technical University, 1995.