Evaluation of Alternatives on Speech to Sign Language Translation

Autor/a: SAN SEGUNDO, R.; PÉREZ, A.; ORTIZ, D.; D'HARO, L.F.; TORRES, M.I.; CASACUBERTA, F.
Año: 2007
Editorial: Conference of the Internacional Speech Communication Association (8º. 2007)
Tipo de código: Copyright
Código: ISSN 1990-9772
Soporte: Digital

Temas

Medios de comunicación y acceso a la información » Nuevas Tecnologías

Detalles

This paper evaluates different approaches on speech to sign language machine translation. The framework of the application focuses on assisting deaf people to apply for the passport or related information. In this context, the main aim is to automatically translate the spontaneous speech, uttered by an officer, into Spanish Sign Language (SSL). In order to get the best translation quality, three alternative techniques have been evaluated: a rule-based approach, a phrase-based statistical approach, and a approach that makes use of stochastic finite state transducers. The best speech translation experiments have reported a 32.0% SER (Sign Error Rate) and a 7.1 BLEU (BiLingual Evaluation Understudy) including speech recognition errors.