Detecting incorrectly-segmented utterances for posteriori restoration of turn-taking and ASR results
Author(s) -
N. Hotta,
Kazunori Komatani,
Satoshi Sato,
Mikio Nakano
Publication year - 2014
Publication title -
interspeech 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2014-75
Subject(s) - computer science , utterance , speech recognition , a priori and a posteriori , maximum a posteriori estimation , prosody , artificial intelligence , feature (linguistics) , pattern recognition (psychology) , domain (mathematical analysis) , binary number , feature extraction , natural language processing , maximum likelihood , mathematics , statistics , mathematical analysis , philosophy , linguistics , arithmetic , epistemology
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