Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR

no code implementations • 9 Nov 2020 • Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig

In this work, to measure the accuracy and efficiency for a latency-controlled streaming automatic speech recognition (ASR) application, we perform comprehensive evaluations on three popular training criteria: LF-MMI, CTC and RNN-T.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT

no code implementations • IJCNLP 2017 • Anoop Kunchukuttan, Maulik Shah, Pradyot Prakash, Pushpak Bhattacharyya

We investigate pivot-based translation between related languages in a low resource, phrase-based SMT setting.

Translation