Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/27993
Autoria: | Coelho, L. Braga, D. Dias, M. S. Garcia-Mateo, C. |
Editor: | Cosi, P., De Mori, R., Di Fabbrizio, G., and Pieraccini, R. |
Data: | 2011 |
Título próprio: | An automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference |
Título e volume do livro: | Interspeech 2011 - 12th Annual Conference of the International Speech Communication Association |
Paginação: | 2457 - 2460 |
Título do evento: | Interspeech 2011 - 12th Annual Conference of the International Speech Communication Association |
Referência bibliográfica: | Coelho, L., Braga, D., & Dias, M. S. (2012). An automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preferencey. In P. Cosi, R. De Mori, G. Di Fabbrizio, & R. Pieraccini (Eds.), Interspeech 2011 - 12th Annual Conference of the International Speech Communication Association (pp. 2457-2460). International Speech Communication Association. http://hdl.handle.net/10071/27993 |
ISBN: | 978-1-61839-270-1 |
Palavras-chave: | Speech analysis Speech synthesis Human voice |
Resumo: | In the last few years the number of systems and devices that use voice based interaction has grown significantly. For a continued use of these systems the interface must be reliable and pleasant in order to provide an optimal user experience. However there are currently very few studies that try to evaluate how good is a voice when the application is a speech based interface. In this paper we present a new automatic voice pleasantness classification system based on prosodic and acoustic patterns of voice preference. Our study is based on a multi-language database composed by female voices. In the objective performance evaluation the system achieved a 7.3% error rate |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | ISTAR-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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conferenceobject_71865.pdf | 351,59 kB | Adobe PDF | Ver/Abrir |
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