Speech and sliding text aided sign retrieval from hearing impaired sign news videos
O. Aran, İsmail Arı, Pavel Campr, Marek Hrúz, D. Kahramaner, Siddika Parlak · 2007
Abstract — In this project we aim to obtain annotated sign data from the broadcast news recordings for the hearing impaired. These recordings from Turkish Radio Television channel (TRT) present an excellent source for automatically generating annotated data. In news for the hearing impaired, the speaker also signs with the hands as she talks. On top of this, there is also corresponding text superimposed on the video. The video of the signer could be segmented via the help of either the speech or both the speech and the text, generating segmented, and annotated sign videos. We aim to use this application as a sign dictionary where the users enter a word as text and retrieve sign videos of the related sign with several examples. This application can also be used to automatically create annotated sign databases that can be used for training recognizers. Index Terms—speech recognition, sliding text recognition, sign language analysis and clustering, hand tracking I.