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» Noise robust exemplar-based connected digit recognition
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NIPS
2001
13 years 8 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
14 years 9 days ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris
CVPR
2000
IEEE
14 years 9 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson
ICASSP
2011
IEEE
12 years 10 months ago
Semi-supervised handwritten digit recognition using very few labeled data
We propose a novel semi-supervised classifier for handwritten digit recognition problems that is based on the assumption that any digit can be obtained as a slight transformation...
Steven Van Vaerenbergh, Ignacio Santamaría,...
ATAL
2006
Springer
13 years 10 months ago
Robust recognition of physical team behaviors using spatio-temporal models
This paper presents a framework for robustly recognizing physical team behaviors by exploiting spatio-temporal patterns. Agent team behaviors in athletic and military domains typi...
Gita Sukthankar, Katia P. Sycara