ICDAR
2009
IEEE
13 years 9 months ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
ICDAR
2009
IEEE
13 years 9 months ago
2009
IEEE
Standard cursive handwriting recognition is based on a language model, mostly a lexicon of possible word hypotheses or character n-grams. The result is a list of word alternatives...
SPEECH
2010
13 years 9 months ago
2010
This study investigates speech comprehension in competing multi-talker babble. We examined the effects of number of simultaneous talkers and of frequency of words in the babble on...
INFORMATICALT
2008
13 years 11 months ago
2008
Abstract. A possibility to use the formant features (FF) in the user-dependent isolated word recognition has been investigated. The word recognition was performed using a dynamic t...
NIPS
1996
14 years 23 days ago
1996
While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
NIPS
1996
14 years 23 days ago
1996
We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses...
DRR
2010
14 years 1 months ago
2010
We describe a technique of linguistic post-processing of whole-book recognition results. Whole-book recognition is a technique that improves recognition of book images using fully...
ICDAR
2003
IEEE
14 years 4 months ago
2003
IEEE
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
ICDAR
2003
IEEE
14 years 4 months ago
2003
IEEE
This paper presents a lexical post-processing optimization for handwritten word recognition. The aim of this work is to explore the combination of different lexical postprocessing...
ICDAR
2007
IEEE
14 years 5 months ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...