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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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Showing 2021 · cs.CLShow all

6 papers · 2 filters

cs.CL2021

Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization

Brian Yan, Chunlei Zhang, Meng Yu +6

Conversational bilingual speech encompasses three types of utterances: two purely monolingual types and one intra-sententially code-switched type. In this work, we propose a genera…

cs.CL2021

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

Siddhant Arora, Siddharth Dalmia, Pavel Denisov +10

As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. H…

cs.CL2021★ 1 cited

Differentiable Allophone Graphs for Language-Universal Speech Recognition

Brian Yan, Siddharth Dalmia, David R. Mortensen +2

Building language-universal speech recognition systems entails producing phonological units of spoken sound that can be shared across languages. While speech annotations at the lan…

cs.CL2021

Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding

Siddhant Arora, Alissa Ostapenko, Vijay Viswanathan +4

Decomposable tasks are complex and comprise of a hierarchy of sub-tasks. Spoken intent prediction, for example, combines automatic speech recognition and natural language understan…

cs.CL2021★ 1 cited

Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks

Siddharth Dalmia, Brian Yan, Vikas Raunak +2

End-to-end approaches for sequence tasks are becoming increasingly popular. Yet for complex sequence tasks, like speech translation, systems that cascade several models trained on…

cs.CL2021

NoiseQA: Challenge Set Evaluation for User-Centric Question Answering

Abhilasha Ravichander, Siddharth Dalmia, Maria Ryskina +3

When Question-Answering (QA) systems are deployed in the real world, users query them through a variety of interfaces, such as speaking to voice assistants, typing questions into a…