L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition

25 Oct 2019Yuanfeng SongDi JiangXuefang ZhaoQian XuRaymond Chi-Wing WongLixin FanQiang Yang

Modern Automatic Speech Recognition (ASR) systems primarily rely on scores from an Acoustic Model (AM) and a Language Model (LM) to rescore the N-best lists. With the abundance of recent natural language processing advances, the information utilized by current ASR for evaluating the linguistic and semantic legitimacy of the N-best hypotheses is rather limited... (read more)

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