activity
20162024
most citedBranchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding

40 citations · 109 across the 27 of their papers we have counts for

collaborators
Showing 2019 · eess.ASShow all

1 paper · 2 filters

eess.AS2019★ 4 cited

Cross-Attention End-to-End ASR for Two-Party Conversations

Suyoun Kim, Siddharth Dalmia, Florian Metze

We present an end-to-end speech recognition model that learns interaction between two speakers based on the turn-changing information. Unlike conventional speech recognition models…