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AUTOMATIC SPEECH RECOGNITION MODELS

音声認識モデル
Authors: Yoshinori SAGISAKA;

AUTOMATIC SPEECH RECOGNITION MODELS

Abstract

This paper describes the outline of current technology and research efforts in automatic speech recognition. The technical problems are introduced in relation to the difficulties that human beings encounter when they learn a foreign language. The structure of an automatic speech recognition system and constituent technologies are explained in comparing to human capabilities. It is found that not only engineering works but also fundamental scientific studies are still required to improve the current recognition technology.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold