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TASLP
2002
124views more  TASLP 2002»
13 years 7 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
TCOM
2008
67views more  TCOM 2008»
13 years 7 months ago
Robust Frequency Hopping for Interference and Fading Channels
Abstract--A robust frequency-hopping system with noncoherent detection, iterative turbo decoding and demodulation, and channel estimation is presented. The data modulation is the s...
Don J. Torrieri, Shi Cheng, Matthew C. Valenti
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 2 months ago
A Kalman filter for robust outlier detection
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
SIGMOD
2005
ACM
87views Database» more  SIGMOD 2005»
14 years 8 months ago
When Can We Trust Progress Estimators for SQL Queries?
The problem of estimating progress for long-running queries has recently been introduced. We analyze the characteristics of the progress estimation problem, from the perspective o...
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ram...
ICASSP
2009
IEEE
14 years 2 months ago
Unsupervised acoustic and language model training with small amounts of labelled data
We measure the effects of a weak language model, estimated from as little as 100k words of text, on unsupervised acoustic model training and then explore the best method of using ...
Scott Novotney, Richard M. Schwartz, Jeff Ma