Title of article :
LSESpeak: A spoken language generator for Deaf people
Author/Authors :
Lَpez-Ludeٌa، نويسنده , , Verَnica and Barra-Chicote، نويسنده , , Roberto and Lutfi، نويسنده , , Syaheerah and Montero، نويسنده , , Juan Manuel and San-Segundo، نويسنده , , Rubén، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
13
From page :
1283
To page :
1295
Abstract :
This paper describes the development of LSESpeak, a spoken Spanish generator for Deaf people. This system integrates two main tools: a sign language into speech translation system and an SMS (Short Message Service) into speech translation system. The first tool is made up of three modules: an advanced visual interface (where a deaf person can specify a sequence of signs), a language translator (for generating the sequence of words in Spanish), and finally, an emotional text to speech (TTS) converter to generate spoken Spanish. The visual interface allows a sign sequence to be defined using several utilities. The emotional TTS converter is based on Hidden Semi-Markov Models (HSMMs) permitting voice gender, type of emotion, and emotional strength to be controlled. The second tool is made up of an SMS message editor, a language translator and the same emotional text to speech converter. Both translation tools use a phrase-based translation strategy where translation and target language models are trained from parallel corpora. In the experiments carried out to evaluate the translation performance, the sign language-speech translation system reported a 96.45 BLEU and the SMS-speech system a 44.36 BLEU in a specific domain: the renewal of the Identity Document and Driving License. In the evaluation of the emotional TTS, it is important to highlight the improvement in the naturalness thanks to the morpho-syntactic features, and the high flexibility provided by HSMMs when generating different emotional strengths.
Keywords :
SMS to Spanish translation , Emotional speech synthesis , Spanish sign language , LSE: Lengua de Signos Espaٌola , Speech generation from LSE
Journal title :
Expert Systems with Applications
Serial Year :
2013
Journal title :
Expert Systems with Applications
Record number :
2353137
Link To Document :
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