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ICDAR
2009
IEEE
9 years 1 months ago
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
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...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
ICDAR
2009
IEEE
9 years 1 months ago
Recurrent HMMs and Cursive Handwriting Recognition Graphs
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...
Marc-Peter Schambach
SPEECH
2010
85views more  SPEECH 2010»
9 years 2 months ago
Real-time lexical competitions during speech-in-speech comprehension
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...
Véronique Boulenger, Michel Hoen, Emmanuel ...
INFORMATICALT
2008
97views more  INFORMATICALT 2008»
9 years 3 months ago
On the Use of the Formant Features in the Dynamic Time Warping Based Recognition of Isolated Words
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...
Antanas Lipeika, Joana Lipeikiene
NIPS
1996
9 years 5 months ago
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
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...
Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon
NIPS
1996
9 years 5 months ago
Effective Training of a Neural Network Character Classifier for Word Recognition
We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses...
Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb
DRR
2010
9 years 6 months ago
Incorporating linguistic post-processing into whole-book recognition
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...
Pingping Xiu, Henry S. Baird
ICDAR
2003
IEEE
9 years 9 months ago
Learning the lexicon from raw texts for open-vocabulary Korean word recognition
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 ...
Sungho Ryu, Jin Hyung Kim
ICDAR
2003
IEEE
9 years 9 months ago
Lexical Post-Processing Optimization for Handwritten Word Recognition
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...
Sabine Carbonnel, Éric Anquetil
ICDAR
2007
IEEE
9 years 10 months ago
Handwritten Word Recognition Using Conditional Random Fields
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...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
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