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» Signal Processing for Robust Speech Recognition
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MMSYS
2012
242views more  MMSYS 2012»
14 years 5 days ago
6DMG: a new 6D motion gesture database
Motion-based control is gaining popularity, and motion gestures form a complementary modality in human-computer interactions. To achieve more robust user-independent motion gestur...
Mingyu Chen, Ghassan Al-Regib, Biing-Hwang Juang
ICASSP
2008
IEEE
15 years 11 months ago
Environmental sound recognition using MP-based features
Defining suitable features for environmental sounds is an important problem in an automatic acoustic scene recognition system. As with most pattern recognition problems, extracti...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
115
Voted
NOLISP
2007
Springer
15 years 10 months ago
Phase-Based Methods for Voice Source Analysis
Voice source analysis is an important but difficult issue for speech processing. In this talk, three aspects of voice source analysis recently developed at LIMSI (Orsay, France) a...
Christophe d'Alessandro, Baris Bozkurt, Boris Dova...
145
Voted
ICIP
2006
IEEE
16 years 6 months ago
An Efficient Method for the Removal of Impulse Noise
A computationally efficient algorithm is proposed to remove noise impulses from speech and audio signals while retaining its features and tonal quality. The proposed method is bas...
Wenbin Luo, Dung Dang
167
Voted
ICASSP
2009
IEEE
15 years 11 months ago
Novel schemes for nonlinear acoustic echo cancellation based on filter combinations
Nonlinear acoustic echo cancellers (NLAEC) are becoming increasingly important in hands-free applications. However, in some situations, an NLAEC is inferior to a linear AEC, espec...
Luis Antonio Azpicueta-Ruiz, Marcus Zeller, Jer&oa...