Who Needs Words? Lexicon-Free Speech Recognition

9 April 2019

Papers citing "Who Needs Words? Lexicon-Free Speech Recognition"

9 / 9 papers shown

Title
Training a Tokenizer for Free with Private Federated Learning Eugene Bagdasaryan Congzheng Song Rogier van Dalen M. Seigel Áine Cahill FedML 22 5 0 15 Mar 2022
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework Yucheng Zhao Dacheng Yin Chong Luo Zhiyuan Zhao Chuanxin Tang Wenjun Zeng Zhengjun Zha SSL 11 6 0 03 Feb 2021
HarperValleyBank: A Domain-Specific Spoken Dialog Corpus Mike Wu J. Nafziger A. Scodary Andrew L. Maas 31 17 0 26 Oct 2020
PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR Yiwen Shao Yiming Wang Daniel Povey Sanjeev Khudanpur AI4TS 30 39 0 20 May 2020
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures Gabriel Synnaeve Qiantong Xu Jacob Kahn Tatiana Likhomanenko Edouard Grave Vineel Pratap Anuroop Sriram Vitaliy Liptchinsky R. Collobert SSL AI4TS 36 246 0 19 Nov 2019
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR Duc Le T. Koehler Christian Fuegen M. Seltzer 30 16 0 22 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations Alexei Baevski Steffen Schneider Michael Auli SSL 22 660 0 12 Oct 2019
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit Yiming Wang Tongfei Chen Hainan Xu Shuoyang Ding Hang Lv Yiwen Shao Nanyun Peng Lei Xie Shinji Watanabe Sanjeev Khudanpur VLM 30 73 0 18 Sep 2019
Word-level Speech Recognition with a Letter to Word Encoder R. Collobert Awni Y. Hannun Gabriel Synnaeve 3DV 27 4 0 10 Jun 2019