Optimizing expected word error rate via sampling for speech recognition

8 June 2017

Papers citing "Optimizing expected word error rate via sampling for speech recognition"

22 / 22 papers shown

Title
Factual Consistency Oriented Speech Recognition Naoyuki Kanda Takuya Yoshioka Yang Liu 55 0 0 24 Feb 2023
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers Zijian Yang Wei Zhou Ralf Schluter Hermann Ney 37 4 0 07 Dec 2022
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding Mirac Suzgun Luke Melas-Kyriazi Dan Jurafsky 50 43 0 14 Nov 2022
Augmenting Transformer-Transducer Based Speaker Change Detection With Token-Level Training Loss Guanlong Zhao Quan Wang Han Lu Yiling Huang Ignacio López Moreno 32 14 0 11 Nov 2022
A Treatise On FST Lattice Based MMI Training Adnan Haider Tim Ng Zhen Huang Xingyu Na Antti-Veikko I. Rosti 57 0 0 17 Oct 2022
Improving Rare Word Recognition with LM-aware MWER Training Weiran Wang Tongzhou Chen Tara N. Sainath Ehsan Variani Rohit Prabhavalkar ... S. Mavandadi Cal Peyser Trevor Strohman Yanzhang He David Rybach KELM 45 13 0 15 Apr 2022
Self-critical Sequence Training for Automatic Speech Recognition Chen Chen Yuchen Hu Nana Hou Xiaofeng Qi Heqing Zou Chng Eng Siong 44 15 0 13 Apr 2022
A Likelihood Ratio based Domain Adaptation Method for E2E Models Chhavi Choudhury Ankur Gandhe Xiaohan Ding I. Bulyko 27 10 0 10 Jan 2022
Recent Advances in End-to-End Automatic Speech Recognition Jinyu Li VLM 53 363 0 02 Nov 2021
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training Adnan Haider Chao Zhang Florian Kreyssig P. Woodland 41 7 0 12 Mar 2021
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus Cal Peyser S. Mavandadi Tara N. Sainath J. Apfel Ruoming Pang Shankar Kumar 29 46 0 24 Aug 2020
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition Jinxi Guo Gautam Tiwari J. Droppo Maarten Van Segbroeck Che-Wei Huang A. Stolcke Roland Maas 21 55 0 27 Jul 2020
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion Cal Peyser Tara N. Sainath Golan Pundak 28 14 0 19 May 2020
Using Context in Neural Machine Translation Training Objectives Danielle Saunders Felix Stahlberg Bill Byrne 24 20 0 04 May 2020
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model Jinyu Li Rui Zhao Eric Sun J. H. M. Wong Amit Das Zhong Meng Jiawei Liu VLM 24 24 0 17 Mar 2020
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition Chao Weng Chengzhu Yu Jia Cui Chunlei Zhang Dong Yu 93 39 0 28 Nov 2019
Deep Learning Based Chatbot Models Richard Csaky 34 46 0 23 Aug 2019
Combining Natural Gradient with Hessian Free Methods for Sequence Training Adnan Haider P. Woodland ODL 28 4 0 03 Oct 2018
From Audio to Semantics: Approaches to end-to-end spoken language understanding Parisa Haghani A. Narayanan M. Bacchiani Galen Chuang Neeraj Gaur Pedro J. Moreno Rohit Prabhavalkar Zhongdi Qu Austin Waters 21 150 0 24 Sep 2018
Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer Kanishka Rao Hasim Sak Rohit Prabhavalkar AI4TS 41 346 0 02 Jan 2018
Speech recognition for medical conversations Chung-Cheng Chiu Anshuman Tripathi Katherine Chou Chris Co Navdeep Jaitly ... Ananth Sankar Justin Tansuwan Nathan Wan Yonghui Wu Xuedong Zhang LM&MA 40 84 0 20 Nov 2017
Sequence Prediction with Neural Segmental Models Hao Tang 42 2 0 05 Sep 2017