Murali Karthick Baskar (Brno University of Technology) “Promising Accurate Prefix Boosting for sequence-to-sequence ASR”

When:
February 4, 2019 @ 12:00 pm – 1:15 pm
2019-02-04T12:00:00-05:00
2019-02-04T13:15:00-05:00
Where:
Hackerman Hall B17
3400 N Charles St
Baltimore, MD 21218
USA
Abstract: Promising accurate prefix boosting (PAPB) is a discriminative training technique for attention based sequence-to-sequence (seq2seq) ASR. PAPB is devised to unify the training and testing scheme effectively. The training procedure involves maximizing the score of each partial correct sequence obtained during beam search compared to other hypotheses. The training objective also includes minimization of token (character) error rate. PAPB shows its efficacy by achieving 10.8% and 3.8% WER with and without external RNNLM respectively on Wall Street Journal dataset.

Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2608

Center for Language and Speech Processing