ASR error management for improving spoken language understanding

26 May 2017Edwin SimonnetSahar GhannayNathalie CamelinYannick EstèveRenato De Mori

This paper addresses the problem of automatic speech recognition (ASR) error detection and their use for improving spoken language understanding (SLU) systems. In this study, the SLU task consists in automatically extracting, from ASR transcriptions , semantic concepts and concept/values pairs in a e.g touristic information system... (read more)

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