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IPPS
1999
IEEE
13 years 8 months ago
A Parallel Phoneme Recognition Algorithm Based on Continuous Hidden Markov Model
This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs...
Sang-Hwa Chung, Min-Uk Park, Hyung-Soon Kim
MICAI
2007
Springer
13 years 10 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
INFORMATICALT
2007
106views more  INFORMATICALT 2007»
13 years 4 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
GW
1999
Springer
134views Biometrics» more  GW 1999»
13 years 8 months ago
Toward Scalability in ASL Recognition: Breaking Down Signs into Phonemes
In this paper we present a novel approach to continuous, whole-sentence ASL recognition that uses phonemes instead of whole signs as the basic units. Our approach is based on a se...
Christian Vogler, Dimitris N. Metaxas
LREC
2008
174views Education» more  LREC 2008»
13 years 6 months ago
Automatic Phoneme Segmentation with Relaxed Textual Constraints
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...
Pierre Lanchantin, Andrew C. Morris, Xavier Rodet,...