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IPPS
1999
IEEE
14 years 4 days 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
INTERSPEECH
2010
13 years 2 months ago
Hidden Markov models with context-sensitive observations for grapheme-to-phoneme conversion
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...
CSL
2004
Springer
13 years 7 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales
PAA
2006
13 years 7 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
ASPDAC
2001
ACM
57views Hardware» more  ASPDAC 2001»
13 years 11 months ago
Speech recognition chip for monosyllables
Abstract-- In the paper, we present a real-time speech recognition chip for monosyllables such as A, B, ..., etc. The chip recognizes up to 64 monosyllables based on the Hidden Mar...
Kazuhiro Nakamura, Qiang Zhu, Shinji Maruoka, Taka...