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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

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eess.AS2021

Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates

Hirofumi Inaguma, Siddharth Dalmia, Brian Yan +1

The multi-decoder (MD) end-to-end speech translation model has demonstrated high translation quality by searching for better intermediate automatic speech recognition (ASR) decoder…

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…