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ICASSP
2010
IEEE
14 years 9 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
ICASSP
2009
IEEE
14 years 9 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
ICASSP
2009
IEEE
14 years 9 months ago
VLSI for 5000-word continuous speech recognition
We have developed a VLSI chip for 5,000 word speakerindependent continuous speech recognition. This chip employs a context-dependent HMM (hidden Markov model) based speech recogni...
Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong ...
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
14 years 9 months ago
Human daily activity recognition in robot-assisted living using multi-sensor fusion
In this paper, we propose a human daily activity recognition method by fusing the data from two wearable inertial sensors attached on one foot and the waist of the human subject, r...
Chun Zhu, Weihua Sheng
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 4 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010