Seungji Lee — accepted AI-conference papers

2020

Neural Oracle Search on N-BEST Hypotheses

Ehsan Variani, Tongzhou Chen, James Apfel, Bhuvana Ramabhadran, Seungji Lee, Pedro J. Moreno

ICASSP 2020accepted

In this paper, we propose a neural search algorithm to select the most likely hypothesis using a sequence of acoustic representations and multiple hypotheses as input. The algorithm provides a sequence level score for each audio-hypothesis pair that is obtained by integrating information from multip…

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2018

No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models

Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach +6

ICASSP 2018accepted

For decades, context-dependent phonemes have been the dominant sub-word unit for conventional acoustic modeling systems. This status quo has begun to be challenged recently by end-to-end models which seek to combine acoustic, pronunciation, and language model components into a single neural network.…

Cited by 0 Source ↗Scholar ↗