Improving End-to-end Speech Recognition with Pronunciation-assisted
Sub-word Modeling

Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling

10 November 2018

Hainan Xu

Shinji Watanabe

Papers citing "Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling"

9 / 9 papers shown

Title
A cost minimization approach to fix the vocabulary size in a tokenizer for an End-to-End ASR system Sunil Kumar Kopparapu Ashish Panda 31 0 0 29 Apr 2024
Transducers with Pronunciation-aware Embeddings for Automatic Speech Recognition Hainan Xu Zhehuai Chen Fei Jia Boris Ginsburg 41 0 0 04 Apr 2024
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system Li Li Dongxing Xu Haoran Wei Yanhua Long 21 2 0 03 Nov 2022
Recent Advances in End-to-End Automatic Speech Recognition Jinyu Li VLM 37 363 0 02 Nov 2021
Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units Yosuke Higuchi Keita Karube Tetsuji Ogawa Tetsunori Kobayashi 18 23 0 08 Oct 2021
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition Wei Zhou Mohammad Zeineldeen Zuoyun Zheng Ralf Schluter Hermann Ney 33 14 0 19 Apr 2021
Word Alignment by Fine-tuning Embeddings on Parallel Corpora Zi-Yi Dou Graham Neubig 98 258 0 20 Jan 2021
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR Duc Le T. Koehler Christian Fuegen M. Seltzer 30 16 0 22 Oct 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016