Real-life speech-enabled system to enhance interaction with rfid networks in noisy environments

This paper presents a system that allows the user to interact by speech with a Radio-Frequency IDentification (RFID) network working in a highly noisy environment. A new dialog framework is proposed in order to give the human operators the ability to communicate with the system in a more natural fashion. This is achieved by the implementation of the Artificial Intelligence Markup Language which, allows the system to respond to close-to natural language queries by means of pattern matching. Besides this, and in order to deal with highly noisy and changing environments, an online signal subspace enhancement technique based on the Variance of the Reconstruction Error of Karhunen-Love Transform (VRE-KLT) is proposed. Both of the dialog naturalness and speech enhancement efficiency are evaluated in real-life situations by using the Microsoft Speech API framework.