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» Signal Processing for Robust Speech Recognition
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ICASSP
2009
IEEE
15 years 8 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...
ICASSP
2010
IEEE
15 years 4 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
ICASSP
2011
IEEE
14 years 8 months ago
Speech-based identification of social groups in a single accent of British English by humans and computers
Classification of social groups within a given accent is a challenging refinement of language identification (LID) and accent/dialect recognition. The 2001 census of England and W...
Abualsoud Hanani, Martin J. Russell, Michael J. Ca...
140
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Acoustic data sharing for Afghan and Persian languages
In this work, we compare several known approaches for multilingual acoustic modeling for three languages, Dari, Farsi and Pashto, which are of recent geo-political interest. We de...
Arindam Mandal, Dimitra Vergyri, Murat Akbacak, Co...
148
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Directional descriptors using zernike moment phases for object orientation estimation in underwater sonar images
Conventional methods for rotation angle estimation are not very robust to variations in object shape or intensity. However in real object recognition scenarios like in underwater ...
Naveen Kumar, Adam C. Lammert, Brendan Englot, Fra...