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

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

eess.AS2021★ 3 cited

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

Yosuke Higuchi, Keita Karube, Tetsuji Ogawa +1

In end-to-end automatic speech recognition (ASR), a model is expected to implicitly learn representations suitable for recognizing a word-level sequence. However, the huge abstract…