Weighted Determinization and Minimization for Large Vocabulary Speech Recognition

Mehryar Mohri; Michael Riley

Weighted Determinization and Minimization for Large Vocabulary Speech Recognition

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

Speech recognition requires solving many space and time problems that can have a critical effect on the overall system performance. We describe the use of two general new algorithms [5] that transform recognition networks into equivalent ones that require much less time and space in large-vocabulary speech recognition. The new algorithms generalize classical automata determinization and minimization to deal properly with the probabilities of alternative hypotheses and with the relationships between units (distributions, phones, words) at different levels in the recognition system.

Original language	English (US)
Pages	131-134
Number of pages	4
State	Published - 1997
Event	5th European Conference on Speech Communication and Technology, EUROSPEECH 1997 - Rhodes, Greece Duration: Sep 22 1997 → Sep 25 1997

Conference

Conference	5th European Conference on Speech Communication and Technology, EUROSPEECH 1997
Country/Territory	Greece
City	Rhodes
Period	9/22/97 → 9/25/97

ASJC Scopus subject areas

Computer Science Applications
Software
Linguistics and Language
Communication

Cite this

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title = "Weighted Determinization and Minimization for Large Vocabulary Speech Recognition",

abstract = "Speech recognition requires solving many space and time problems that can have a critical effect on the overall system performance. We describe the use of two general new algorithms [5] that transform recognition networks into equivalent ones that require much less time and space in large-vocabulary speech recognition. The new algorithms generalize classical automata determinization and minimization to deal properly with the probabilities of alternative hypotheses and with the relationships between units (distributions, phones, words) at different levels in the recognition system.",

author = "Mehryar Mohri and Michael Riley",

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AB - Speech recognition requires solving many space and time problems that can have a critical effect on the overall system performance. We describe the use of two general new algorithms [5] that transform recognition networks into equivalent ones that require much less time and space in large-vocabulary speech recognition. The new algorithms generalize classical automata determinization and minimization to deal properly with the probabilities of alternative hypotheses and with the relationships between units (distributions, phones, words) at different levels in the recognition system.

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M3 - Paper

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Y2 - 22 September 1997 through 25 September 1997

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Weighted Determinization and Minimization for Large Vocabulary Speech Recognition

Abstract

Conference

ASJC Scopus subject areas

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