Abstract
In this work, we present the speech recognition module of a service robot that performs various tasks, such as being a host party, receiving multiple commands or giving a tour guide. These tasks take place in diverse acoustic environments, e.g., a home or a supermarket, in which speech is one of the main modalities of interaction. Our approach relies on three strategies: 1) making the recognizer aware of the task context, 2) providing prompting strategies to guide the recognition, and 3) calibrating the audio setting specific to the environment. We provide an evaluation with recordings from real interactions with a service robot in different environments.
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Meza Ruiz, I.V., Rascón, C., Pineda Cortes, L.A. (2013). Practical Speech Recognition for Contextualized Service Robots. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Soft Computing and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45111-9_37
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DOI: https://doi.org/10.1007/978-3-642-45111-9_37
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