Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring

arXiv:2310.09680v4 Announce Type: replace
Abstract: Automatic Speech Recognition (ASR) has witnessed a profound research interest. Recent breakthroughs have given ASR systems different prospects such as faithfully transcribing spoken language, which is a pivotal advancement in building conversational agents. However, there is still an imminent challenge of accurately discerning context-dependent words and phrases. In this work, we propose a novel approach for enhancing contextual recognition within ASR systems via semantic lattice processing leveraging the power of deep learning models in accurately …

abstract advancement agents arxiv asr automatic speech recognition building challenge conversational conversational agents cs.ai cs.cl cs.sd eess.as language lattice pivotal prospects recognition research semantic speech speech recognition spoken systems type