Líneas de Trabajo: | Año: | 2011 | |||||
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Tipo de publicación: | Parte de colección | ||||||
Autores: | Santos Pérez, Marcos; González Parada, Eva; Cano García, José Manuel | ||||||
Publisher: | Springer Berlin / Heidelberg | ||||||
Editor: | Pérez, Javier and Corchado, Juan and Moreno, María and Julián, Vicente and Mathieu, Philippe and Canada-Bago, Joaquin and Ortega, Alfonso and Caballero, Antonio | ||||||
Páginas: | 233-242 | ||||||
ISBN: | 9783642199165 | ||||||
Nota: | 10.1007/978-3-642-19917-2_28 |
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Abstract: | Nowadays people are faced daily with the management of all types of
technological devices that have embedded processors inside. The desire
of users and the industry is to achieve a natural interaction with
these devices. Researchers have spent many years working in spoken
dialog systems which are now used in many applications. In these
systems it is crucial to achieve correct speech recognition. Usually
the largest research effort focuses on the robustness to noise in
all kinds of adverse conditions but often the response time is ignored.
This paper focuses on a new approach for the efficient use of voice
activity detection and speech recognition in embedded devices for
natural language interaction. We propose a new approach to adjust
the response time of the recognition system to the requirements of
the overall implementation without sacrificing too much accuracy. |
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