Idioma:

Brazilian Portuguese speech-driven answering system

Oliveira, Artur L. C. ; Silva, Eduardo S. ; Macedo, Hendrik T. ; Matos, Leonardo N. Patricio Chagas do Nascimento, Rogerio

2012 6th Euro American Conference on Telematics and Information Systems (EATIS), 2012, p.277-284

New York, NY, USA: ACM

Texto completo disponível

Citações Citado por

Enviar para

Título:
Brazilian Portuguese speech-driven answering system
Autor: Oliveira, Artur L. C. ; Silva, Eduardo S. ; Macedo, Hendrik T. ; Matos, Leonardo N.
Patricio Chagas do Nascimento, Rogerio
Assuntos: Automatic Speech Recognition ; Call-Center ; Computing methodologies -- Artificial intelligence -- Natural language processing -- Speech recognition ; Electronic mail ; Hardware ; Hardware -- Communication hardware, interfaces and storage -- Sound-based input -- output ; Hidden Markov models ; Human-centered computing -- Human computer interaction (HCI) -- Interaction devices -- Sound-based input -- output ; Human-centered computing -- Human computer interaction (HCI) -- Interaction paradigms -- Natural language interfaces ; Internet telephony ; Irrigation ; IVR ; Software ; Speech recognition
É parte de: 2012 6th Euro American Conference on Telematics and Information Systems (EATIS), 2012, p.277-284
Descrição: Call centers are being increasingly incorporated into companies and institutions. There are usually two different types of call centers: customer services with human attendants and numeric keypad-driven automatic service. Human attendants have high costs. The use of numeric keypads are not intuitive and increases system's rejection rate. In order to contribute to the reduction of these limitations, this paper proposes an automated answering system with speech recognition for Brazilian Portuguese. As a case study, the system handles phone calls of the Computer Science Department secretary at a federal university. Current version is able to provide automatic call transfer to department's lectures, voice messages recording and automatic e-mailing. Recognition evaluation has been done by means of four different metrics. The metric WIP pointed a speech recognition rate of ~91% for limited vocabulary.
Editor: New York, NY, USA: ACM
Idioma: Inglês

Links

View record in IEEE$$FView record in $$GIEEE

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Brazilian Portuguese speech-driven answering system

Oliveira, Artur L. C. ; Silva, Eduardo S. ; Macedo, Hendrik T. ; Matos, Leonardo N. Patricio Chagas do Nascimento, Rogerio

New York, NY, USA: ACM

Buscando em bases de dados remotas. Favor aguardar.