Paper Info
Title
Real-life speech-enabled system to enhance interaction with rfid networks in noisy environments
Abstract
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.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5946848
Acoustics, Speech and Signal Processing
Keywords
DocType
ISSN
artificial intelligence,pattern matching,radiofrequency identification,signal reconstruction,speech enhancement,speech recognition,transforms,Microsoft speech API framework,RFID network,VRE-KLT,artificial intelligence markup language,interaction enhancement,natural language query,noisy environment,online signal subspace enhancement technique,pattern matching,radiofrequency identification network,real-life speech-enabled system,speech enhancement,speech recognition,variance of the reconstruction error of karhunen-love transform,AIML,KLT,Natural dialog,RFID,speech enhancement,speech recognition
Conference
1520-6149 E-ISBN : 978-1-4577-0537-3
ISBN
Citations 
PageRank 
978-1-4577-0537-3
1
0.40
References 
Authors
6
4
Name
Order
Citations
PageRank
Yacine Benahmed122.48
Sid-Ahmed Selouani2155.71
Douglas D. O'Shaughnessy339884.79
Amin Haji Abolhassani4234.27