Improving the Performance of Online Neural Transducer Models

5 December 2017

Papers citing "Improving the Performance of Online Neural Transducer Models"

7 / 7 papers shown

Title
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition Sanket Shah Basil Abraham M. GurunathReddy Sunayana Sitaram Vikas Joshi 11 18 0 01 Jun 2020
Attention-based Transducer for Online Speech Recognition Bin Wang Yan Yin Hui-Ching Lin 18 4 0 18 May 2020
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition Hu Hu Rui Zhao Jinyu Li Liang Lu Jiawei Liu 19 27 0 01 May 2020
Improving RNN Transducer Modeling for End-to-End Speech Recognition Jinyu Li Rui Zhao Hu Hu Jiawei Liu 16 170 0 26 Sep 2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling Jonathan Shen Patrick Nguyen Yonghui Wu Z. Chen M. Chen ... William Chan Shubham Toshniwal Baohua Liao M. Nirschl Pat Rondon VLM 27 209 0 21 Feb 2019
Speaker Adaptation for End-to-End CTC Models Ke Li Jinyu Li Yong Zhao Kshitiz Kumar Jiawei Liu 18 24 0 04 Jan 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016