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NIPS
2001
15 years 1 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
ASPDAC
2008
ACM
200views Hardware» more  ASPDAC 2008»
15 years 2 months ago
Non-Gaussian statistical timing analysis using second-order polynomial fitting
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
Lerong Cheng, Jinjun Xiong, Lei He
99
Voted
HPCA
2009
IEEE
16 years 27 days ago
A first-order fine-grained multithreaded throughput model
Analytical modeling is an alternative to detailed performance simulation with the potential to shorten the development cycle and provide additional insights. This paper proposes a...
Xi E. Chen, Tor M. Aamodt
131
Voted
CMG
2008
15 years 1 months ago
Computing Missing Service Demand Parameters for Performance Models
One of the challenges in building analytic performance models such as queuing network models is obtaining service demands for the various workloads and various devices. While some...
Daniel A. Menascé
TASLP
2002
124views more  TASLP 2002»
14 years 12 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng