Yeon-Jun Kim — accepted AI-conference papers

2021

A Hybrid Approach to Scalable and Robust Spoken Language Understanding in Enterprise Virtual Agents

Ryan Price, Mahnoosh Mehrabani, Narendra Gupta, Yeon-Jun Kim, Shahab Jalalvand, Minhua Chen +2

NAACL 2021industry

Spoken language understanding (SLU) extracts the intended mean- ing from a user utterance and is a critical component of conversational virtual agents. In enterprise virtual agents (EVAs), language understanding is substantially challenging. First, the users are infrequent callers who are unfamiliar…

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2015

Intonational phrase break prediction for text-to-speech synthesis using dependency relations

Taniya Mishra, Yeon-Jun Kim, Srinivas Bangalore

ICASSP 2015accepted

Intonational phrase (IP) break prediction is an important aspect of front-end analysis in a text-to-speech system. Standard approaches for intonational phrase break prediction rely on the use of linguistic rules or more recently, lexicalized data-driven models. Linguistic rules are not robust while…

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