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20162026
most citedError Correction in ASR using Sequence-to-Sequence Models

10 citations · 25 across the 41 of their papers we have counts for

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Showing 2022 · cs.CLShow all

5 papers · 2 filters

cs.CL2022

Towards Zero-Shot Code-Switched Speech Recognition

Brian Yan, Matthew Wiesner, Ondrej Klejch +2

In this work, we seek to build effective code-switched (CS) automatic speech recognition systems (ASR) under the zero-shot setting where no transcribed CS speech data is available…

cs.CL2022

DICTDIS: Dictionary Constrained Disambiguation for Improved NMT

Ayush Maheshwari, Preethi Jyothi, Ganesh Ramakrishnan

Domain-specific neural machine translation (NMT) systems (e.g., in educational applications) are socially significant with the potential to help make information accessible to a di…

cs.CL2022

Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding

Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi

Online alignment in machine translation refers to the task of aligning a target word to a source word when the target sequence has only been partially decoded. Good online alignmen…

cs.CL2022

Adaptive Discounting of Implicit Language Models in RNN-Transducers

Vinit Unni, Shreya Khare, Ashish Mittal +3

RNN-Transducer (RNN-T) models have become synonymous with streaming end-to-end ASR systems. While they perform competitively on a number of evaluation categories, rare words pose a…

cs.CL2022★ 10 cited

Error Correction in ASR using Sequence-to-Sequence Models

Samrat Dutta, Shreyansh Jain, Ayush Maheshwari +3

Post-editing in Automatic Speech Recognition (ASR) entails automatically correcting common and systematic errors produced by the ASR system. The outputs of an ASR system are largel…