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ICDAR
2003
IEEE
15 years 2 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
ICASSP
2009
IEEE
14 years 7 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
INFORMATICALT
2007
106views more  INFORMATICALT 2007»
14 years 9 months ago
Framework for Choosing a Set of Syllables and Phonemes for Lithuanian Speech Recognition
This paper describes a framework for making up a set of syllables and phonemes that subsequently is used in the creation of acoustic models for continuous speech recognition of Lit...
Sigita Laurinciukaite, Antanas Lipeika
86
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IUI
2012
ACM
13 years 5 months ago
Airwriting: demonstrating mobile text input by 3D-space handwriting
We demonstrate our airwriting interface for mobile handsfree text entry. The interface enables a user to input text into a computer by writing in the air like on an imaginary blac...
Christoph Amma, Tanja Schultz
ICASSP
2011
IEEE
14 years 1 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo