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ICASSP
2011
IEEE
14 years 11 months ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares
ICASSP
2009
IEEE
16 years 1 months ago
Leveraging multiple query logs to improve language models for spoken query recognition
A voice search system requires a speech interface that can correctly recognize spoken queries uttered by users. The recognition performance strongly relies on a robust language mo...
Xiao Li, Patrick Nguyen, Geoffrey Zweig, Dan Bohus
IPPS
2007
IEEE
16 years 1 months ago
ParalleX: A Study of A New Parallel Computation Model
This paper proposes the study of a new computation model that attempts to address the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and th...
Guang R. Gao, Thomas L. Sterling, Rick Stevens, Ma...
IJCNLP
2005
Springer
16 years 21 days ago
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
Wei Yuan, Jianfeng Gao, Hisami Suzuki
ICIP
2006
IEEE
16 years 8 months ago
Robust Anisotropic Disparity Estimation with Perceptual Maximum Variation Modeling
We present a robust anisotropic dense disparity estimation algorithm which employs perceptual maximum variation modeling. Edge-preserving dense disparity vectors are estimated usi...
Jangheon Kim, Thomas Sikora