DocumentCode
596507
Title
Blind speech separation and recognition system for human robot interaction in reverberant environment
Author
Janghoon Cho ; Hyunsin Park ; Yoo, Choong D.
Author_Institution
Div. of EE, Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear
2012
fDate
26-28 Nov. 2012
Firstpage
584
Lastpage
585
Abstract
This paper considers blind speech separation and recognition for human robot interaction in reverberant environment. In the proposed system, the speech sources whose number is more than the number of mixtures are separated by MMSE-criteria and recognized by HMM-based speech recognizer. Experimental result shows the superiority of the proposed system.
Keywords
blind source separation; hidden Markov models; human-robot interaction; least mean squares methods; speech recognition; speech synthesis; HMM-based speech recognizer; MMSE-criteria; blind speech recognition system; blind speech separation system; human robot interaction; reverberant environment; speech sources; Blind source separation; Clustering algorithms; Hidden Markov models; Robots; Signal processing algorithms; Speech; Speech recognition; Blind Source Separation; Human Robot Interaction; Speech Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location
Daejeon
Print_ISBN
978-1-4673-3111-1
Electronic_ISBN
978-1-4673-3110-4
Type
conf
DOI
10.1109/URAI.2012.6463086
Filename
6463086
Link To Document