Navegando por Assunto "Sistema Coruja"
Agora exibindo 1 - 1 de 1
- Resultados por página
- Opções de Ordenação
Item Acesso aberto (Open Access) Avanços em reconhecimento de fala para português brasileiro e aplicações: ditado no libreoffice e unidade de resposta audível com asterisk(Universidade Federal do Pará, 2013-03-04) BATISTA, Pedro dos Santos; SAMPAIO NETO, Nelson Cruz; http://lattes.cnpq.br/9756167788721062; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284Automatic speech recognition has been increasingly more useful and feasible. When it comes to languages such as English, there are excellent speech recognizers available. However, the situation is not the same for Brazilian Portuguese, where the few recognizers for desktop dictation that existed, are no longer available. This dissertation is aligned with a goal of the Signal Processing Laboratory at the Federal University of Para, which is the development of a complete automatic speech recognizer for Brazilian Portuguese. More specifically, the main contributions of this dissertation are: the development of some resources needed to build a speech recognizer such as transcribed audio database and speech API; and the development of two applications: one for desktop dictation and another for automatic service in a call center. The system developed in-house for automatic speech recognition in Brazilian Portuguese is called Coruja, and besides all the resources that makes automatic speech recognition in Brazilian Portuguese available, the Coruja also contains an API for application development using speech recognition. The application for desktop dictation is called SpeechOO. The SpeechOO enables dictation and text editing and formatting by voice for the LibreOffice Writer. Other contribution of this work is the use of Coruja in call centers. Coruja was integrated with the Asterisk software, which is the main open source software for call centers. The main application developed for automated service in call center was an interactive voice response which is deployed nationally and receives more than 3 thousand daily calls.