A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text
Generation

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation

11 October 2021

Hirofumi Inaguma

Tatsuya Komatsu

Tianzi Wang

Shinji Watanabe

Papers citing "A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation"

8 / 8 papers shown

Title
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification Yifan Peng Yui Sudo Muhammad Shakeel Shinji Watanabe VLM 39 17 0 20 Feb 2024
CIF-T: A Novel CIF-based Transducer Architecture for Automatic Speech Recognition Tian-Hao Zhang Dinghao Zhou Guiping Zhong Jiaming Zhou Baoxiang Li 20 3 0 26 Jul 2023
Neural Diarization with Non-autoregressive Intermediate Attractors Yusuke Fujita Tatsuya Komatsu Robin Scheibler Yusuke Kida Tetsuji Ogawa 35 11 0 13 Mar 2023
A Token-Wise Beam Search Algorithm for RNN-T Gil Keren 31 1 0 28 Feb 2023
A context-aware knowledge transferring strategy for CTC-based ASR Keda Lu Kuan-Yu Chen 15 15 0 12 Oct 2022
Improving CTC-based ASR Models with Gated Interlayer Collaboration Yuting Yang Yuke Li Binbin Du 31 11 0 25 May 2022
Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units Yosuke Higuchi Keita Karube Tetsuji Ogawa Tetsunori Kobayashi 18 22 0 08 Oct 2021
Intermediate Loss Regularization for CTC-based Speech Recognition Jaesong Lee Shinji Watanabe 118 135 0 05 Feb 2021