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

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Showing 2018 · cs.CLShow all

2 papers · 2 filters

cs.CL2018

Domain Robust Feature Extraction for Rapid Low Resource ASR Development

Siddharth Dalmia, Xinjian Li, Florian Metze +1

Developing a practical speech recognizer for a low resource language is challenging, not only because of the (potentially unknown) properties of the language, but also because test…

cs.CL2018

Sequence-based Multi-lingual Low Resource Speech Recognition

Siddharth Dalmia, Ramon Sanabria, Florian Metze +1

Techniques for multi-lingual and cross-lingual speech recognition can help in low resource scenarios, to bootstrap systems and enable analysis of new languages and domains. End-to-…