Hybrid Training Method for Tied Mixture Density Hidden Markov Models Using Learning Vector Quantization and Viterbi Estimation

M. Kurimo

Hybrid Training Method for Tied Mixture Density Hidden Markov Models Using Learning Vector Quantization and Viterbi Estimation

Research output: Working paper › Professional

8 Citations (Scopus)

Original language	English
Pages	362-371
Publication status	Published - 1994
MoE publication type	D4 Published development or research report or study

Publication series

Name	IEEE Workshop on Neural Networks for Signal Processing, Ermioni, Greece, September 1994

Keywords

learning vector quantization
semi-continuous hidden Markov model
speech recognition

Cite this

@techreport{17d427d0ac694f63a26f3018808f263f,

title = "Hybrid Training Method for Tied Mixture Density Hidden Markov Models Using Learning Vector Quantization and Viterbi Estimation",

keywords = "learning vector quantization, semi-continuous hidden Markov model, speech recognition, learning vector quantization, semi-continuous hidden Markov model, speech recognition, learning vector quantization, semi-continuous hidden Markov model, speech recognition",

author = "M. Kurimo",

year = "1994",

language = "English",

series = "IEEE Workshop on Neural Networks for Signal Processing, Ermioni, Greece, September 1994",

pages = "362--371",

type = "WorkingPaper",

}

TY - UNPB

T1 - Hybrid Training Method for Tied Mixture Density Hidden Markov Models Using Learning Vector Quantization and Viterbi Estimation

AU - Kurimo, M.

PY - 1994

Y1 - 1994

KW - learning vector quantization

KW - semi-continuous hidden Markov model

KW - speech recognition

KW - learning vector quantization

KW - semi-continuous hidden Markov model

KW - speech recognition

KW - learning vector quantization

KW - semi-continuous hidden Markov model

KW - speech recognition

UR - https://www.scopus.com/pages/publications/0028699171

M3 - Working paper

T3 - IEEE Workshop on Neural Networks for Signal Processing, Ermioni, Greece, September 1994

SP - 362

EP - 371

BT - Hybrid Training Method for Tied Mixture Density Hidden Markov Models Using Learning Vector Quantization and Viterbi Estimation

ER -

Hybrid Training Method for Tied Mixture Density Hidden Markov Models Using Learning Vector Quantization and Viterbi Estimation

Publication series

Keywords

Other files and links

Cite this