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» Source Separation with Gaussian Process Models
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TCSV
2008
125views more  TCSV 2008»
13 years 7 months ago
Exploring Co-Occurence Between Speech and Body Movement for Audio-Guided Video Localization
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
H. Vajaria, S. Sarkar, R. Kasturi
ICASSP
2009
IEEE
14 years 2 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...
IROS
2006
IEEE
180views Robotics» more  IROS 2006»
14 years 1 months ago
Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World
— This paper presents a robot audition system that recognizes simultaneous speech in the real world by using robotembedded microphones. We have previously reported Missing Featur...
Shun'ichi Yamamoto, Kazuhiro Nakadai, Mikio Nakano...
ENTCS
2006
183views more  ENTCS 2006»
13 years 7 months ago
Metamodel-Based Model Transformation with Aspect-Oriented Constraints
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...
László Lengyel, Tihamer Levendovszky...
TSP
2010
13 years 2 months ago
Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers
Abstract--With increasing spatial reuse of radio spectrum, cochannel interference is becoming a dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Brian L. Evans, Jeffrey G. Andrews, ...