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Arun Narayanan — most-cited papers & profile · Speech Audio
← authors
·
overview
Arun Narayanan
19
papers ·
473
citations ·
23
h-index
The University of Texas Medical Branch at Galveston
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
2020 · 202 citations
From Audio to Semantics: Approaches to end-to-end spoken language understanding
2018 · 139 citations
A comparison of end-to-end models for long-form speech recognition
2019 · 85 citations
Cross-attention conformer for context modeling in speech enhancement for ASR
2021 · 13 citations
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions
2020 · 12 citations
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
2020 · 6 citations
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation
2022 · 5 citations
Mask scalar prediction for improving robust automatic speech recognition
2022 · 3 citations
A Better and Faster End-to-End Model for Streaming ASR
2020 · 2 citations
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation
2021 · 2 citations
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data
2020 · 1 citations
SNRi Target Training for Joint Speech Enhancement and Recognition
2021 · 1 citations
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
2022 · 1 citations
Training Large ASR Encoders with Differential Privacy
2024 · 1 citations
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
2020
Top co-authors
Chung-Cheng Chiu
· 7
Rohit Prabhavalkar
· 6
Ruoming Pang
· 6
Tara N. Sainath
· 5
Yonghui Wu
· 5
Tom O'Malley
· 4
Wei Han
· 4
Yanzhang He
· 4
Bo Li
· 3
Ian McGraw
· 3
James Walker
· 3
Nathan Howard
· 3
Topics
Speech Recognition
Speech Enhancement
Speech Translation
Text-to-Speech
Audio Understanding
Speaker Analysis