Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units

1 code implementation • 8 Oct 2021 • Yosuke Higuchi, Keita Karube, Tetsuji Ogawa, Tetsunori Kobayashi

In this work, to promote the word-level representation learning in end-to-end ASR, we propose a hierarchical conditional model that is based on connectionist temporal classification (CTC).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2