ASR error detection using recurrent neural network language model and complementary ASR

ICASSP, pp. 2312-2316, 2014.

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iraqi arabic asrrecurrent neural network language modelspeech recognitioncomplementary asr systemneural network predictorMore(15+)

Abstract:

Detecting automatic speech recognition (ASR) errors can play an important role for effective human-computer spoken dialogue system, as recognition errors can hinder accurate system understanding of user intents. Our goal is to locate errors in an utterance so that the dialogue manager can pose appropriate clarification questions to the us...More

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