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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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ICIP
2000
IEEE
14 years 9 months ago
LIP Contour Extraction Using a Deformable Model
The use of visual information from lip movements can improve the accuracy and robustness of a speech recognition system. Accurate extraction of visual features associated with the...
Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau
PR
2008
120views more  PR 2008»
13 years 7 months ago
Fuzzy integral based information fusion for classification of highly confusable non-speech sounds
Acoustic event classification may help to describe acoustic scenes and contribute to improve the robustness of speech technologies. In this work, fusion of different information s...
Andrey Temko, Dusan Macho, Climent Nadeu
FUIN
2007
129views more  FUIN 2007»
13 years 7 months ago
Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition
Abstract. Identification of music instruments in polyphonic sounds is difficult and challenging, especially where heterogeneous harmonic partials are overlapping with each other....
Xin Zhang, Zbigniew W. Ras
NIPS
2001
13 years 8 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura
AVI
2008
13 years 9 months ago
Exploring emotions and multimodality in digitally augmented puppeteering
Recently, multimodal and affective technologies have been adopted to support expressive and engaging interaction, bringing up a plethora of new research questions. Among the chall...
Lassi A. Liikkanen, Giulio Jacucci, Eero Huvio, To...