Using LVQ to Enhance Semi-Continuous Hidden Markov Models for Phonemes

M. Kurimo

Using LVQ to Enhance Semi-Continuous Hidden Markov Models for Phonemes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	3rd European Conference on Speech Communication and Technology, Berlin, Germany, September 1993
Pages	1731-1734
Publication status	Published - 1993
MoE publication type	A4 Article in a conference publication

Keywords

learning vector quantization
semi-continuous hidden Markov models
speech recognition

Cite this

@inproceedings{cf23b9c1507b478087546bbed70727bc,

title = "Using LVQ to Enhance Semi-Continuous Hidden Markov Models for Phonemes",

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

author = "M. Kurimo",

year = "1993",

language = "English",

pages = "1731--1734",

booktitle = "3rd European Conference on Speech Communication and Technology, Berlin, Germany, September 1993",

}

TY - GEN

T1 - Using LVQ to Enhance Semi-Continuous Hidden Markov Models for Phonemes

AU - Kurimo, M.

PY - 1993

Y1 - 1993

KW - learning vector quantization

KW - semi-continuous hidden Markov models

KW - speech recognition

KW - learning vector quantization

KW - semi-continuous hidden Markov models

KW - speech recognition

KW - learning vector quantization

KW - semi-continuous hidden Markov models

KW - speech recognition

M3 - Conference contribution

SP - 1731

EP - 1734

BT - 3rd European Conference on Speech Communication and Technology, Berlin, Germany, September 1993

ER -