Automatic fingersign-to-speech translation system

Marek Hrúz*, Pavel Campr, E. Dikici, Ahmet Alp Kindiroǧlu, Zdeněk Krňoul, Alexander Ronzhin, Haşim Sak, Daniel Schorno, Hülya Yalçin, Lale Akarun, Oya Aran, Alexey Karpov, Murat Saraçlar, Milos Železný

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The aim of this paper is to help the communication of two people, one hearing impaired and one visually impaired by converting speech to fingerspelling and fingerspelling to speech. Fingerspelling is a subset of sign language, and uses finger signs to spell letters of the spoken or written language. We aim to convert finger spelled words to speech and vice versa. Different spoken languages and sign languages such as English, Russian, Turkish and Czech are considered.

Original languageEnglish
Pages (from-to)61-79
Number of pages19
JournalJournal on Multimodal User Interfaces
Volume4
Issue number2
DOIs
Publication statusPublished - Jul 2011
Externally publishedYes

Funding

Acknowledgements This work was developed in the eNTER-FACE’10 Summer Workshop on Multimodal Interfaces, Amsterdam, the Netherlands. This work has been supported by: the Scientific and Technological Research Council of Turkey (TUBITAK) project No. 108E113; Grant of the President of Russia No. MK-64898.2010.8; the Ministry of Education and Science of Russia contracts No. 2579 and No. 2360; RFBR project No. 09-07-91220-CT-a; UWB project No. SGS-2010-054; project No. GACˇ R 102/09/P609; MECR project No. ME08106 and by the Grant Agency of Academy of Sciences of the Czech Republic project No. 1ET101470416.

FundersFunder number
Russian Foundation for Basic ResearchGACˇ R 102/09/P609, 09-07-91220-CT-a, SGS-2010-054, ME08106
Ministry of Education and Science of the Russian Federation2579, 2360
Akademie Věd České Republiky1ET101470416
Türkiye Bilimsel ve Teknolojik Araştirma KurumuMK-64898.2010.8, 108E113

    Keywords

    • Fingerspelling recognition
    • Fingerspelling synthesis
    • Speech recognition
    • Speech synthesis

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