On the use of ideal binary masks for improving phonetic classification. - Arun Narayanan; DeLiang Wang (ICASSP, 2011)

Robust speech recognition using multiple prior models for speech reconstruction. - Arun Narayanan; Xiaojia Zhao; DeLiang Wang; Eric Fosler-Lussier (ICASSP, 2011)

Computational Auditory Scene Analysis and Automatic Speech Recognition. - Arun Narayanan; DeLiang Wang (Techniques for Noise Robustness in Automatic Speech Recognition, 2012)

On the Role of Binary Mask Pattern in Automatic Speech Recognition. - Arun Narayanan; DeLiang Wang (INTERSPEECH, 2012)

A CASA-Based System for Long-Term SNR Estimation. - Arun Narayanan; DeLiang Wang (IEEE Trans. Speech Audio Process., 2012)

Coupling binary masking and robust ASR. - Arun Narayanan; DeLiang Wang (ICASSP, 2013)

Ideal ratio mask estimation using deep neural networks for robust speech recognition. - Arun Narayanan; DeLiang Wang (ICASSP, 2013)

A Direct Masking Approach to Robust ASR. - William Hartmann; Arun Narayanan; Eric Fosler-Lussier; DeLiang Wang (IEEE Trans. Speech Audio Process., 2013)

Analysis-by-synthesis feature estimation for robust automatic speech recognition using spectral masks. - Michael I. Mandel; Arun Narayanan (ICASSP, 2014)

Joint noise adaptive training for robust automatic speech recognition. - Arun Narayanan; DeLiang Wang (ICASSP, 2014)

Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition. - Arun Narayanan; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

On training targets for supervised speech separation. - Yuxuan Wang 002; Arun Narayanan; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Arun Narayanan; Michiel Bacchiani; Andrew W. Senior (ASRU, 2015)

Large-scale, sequence-discriminative, joint adaptive training for masking-based robust ASR. - Arun Narayanan; Ananya Misra; Kean K. Chin (INTERSPEECH, 2015)

Improving Robustness of Deep Neural Network Acoustic Models via Speech Separation and Joint Adaptive Training. - Arun Narayanan; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Factored spatial and spectral multichannel raw waveform CLDNNs. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Arun Narayanan; Michiel Bacchiani (ICASSP, 2016)

Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction. - Tara N. Sainath; Arun Narayanan; Ron J. Weiss; Ehsan Variani; Kevin W. Wilson; Michiel Bacchiani; Izhak Shafran (INTERSPEECH, 2016)

Economic benefits of photovoltaic-based systems for residential customers participating in open electricity markets. - Arun Narayanan; Tero Kaipia; Jarmo Partanen (ISGT Europe, 2016)

Raw Multichannel Processing Using Deep Neural Networks. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Arun Narayanan; Michiel Bacchiani; Bo Li 028; Ehsan Variani; Izhak Shafran; Andrew W. Senior; Kean K. Chin; Ananya Misra; Chanwoo Kim 001 (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. - Khe Chai Sim; Arun Narayanan; Tom Bagby; Tara N. Sainath; Michiel Bacchiani (ASRU, 2017)

Adaptive Multichannel Dereverberation for Automatic Speech Recognition. - Joe Caroselli; Izhak Shafran; Arun Narayanan; Richard Rose (INTERSPEECH, 2017)

Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home. - Chanwoo Kim 001; Ananya Misra; Kean K. Chin; Thad Hughes; Arun Narayanan; Tara N. Sainath; Michiel Bacchiani (INTERSPEECH, 2017)

Acoustic Modeling for Google Home. - Bo Li 028; Tara N. Sainath; Arun Narayanan; Joe Caroselli; Michiel Bacchiani; Ananya Misra; Izhak Shafran; Hasim Sak; Golan Pundak; Kean K. Chin; Khe Chai Sim; Ron J. Weiss; et al. (INTERSPEECH, 2017)

Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training. - Tara N. Sainath; Vijayaditya Peddinti; Olivier Siohan; Arun Narayanan (INTERSPEECH, 2017)

An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication. - Khe Chai Sim; Arun Narayanan (INTERSPEECH, 2017)

Interruption reduction in secondary substations using battery energy storage systems. - Arun Narayanan; Tero Kaipia; Jarmo Partanen (ISGT Europe, 2017)

Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition. - Tara N. Sainath; Ron J. Weiss; Kevin W. Wilson; Bo Li 028; Arun Narayanan; Ehsan Variani; Michiel Bacchiani; Izhak Shafran; Andrew W. Senior; Kean K. Chin; Ananya Misra; Chanwoo Kim 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition. - Chanwoo Kim 001; Tara N. Sainath; Arun Narayanan; Ananya Misra; Rajeev C. Nongpiur; Michiel Bacchiani (ICASSP, 2018)

Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models. - Chanwoo Kim 001; Ehsan Variani; Arun Narayanan; Michiel Bacchiani (INTERSPEECH, 2018)

Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. - Khe Chai Sim; Arun Narayanan; Ananya Misra; Anshuman Tripathi; Golan Pundak; Tara N. Sainath; Parisa Haghani; Bo Li 028; Michiel Bacchiani (INTERSPEECH, 2018)

From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding. - Parisa Haghani; Arun Narayanan; Michiel Bacchiani; Galen Chuang; Neeraj Gaur; Pedro J. Moreno 001; Rohit Prabhavalkar; Zhongdi Qu; Austin Waters (SLT, 2018)

Toward Domain-Invariant Speech Recognition via Large Scale Training. - Arun Narayanan; Ananya Misra; Khe Chai Sim; Golan Pundak; Anshuman Tripathi; Mohamed Elfeky 001; Parisa Haghani; Trevor Strohman; Michiel Bacchiani (SLT, 2018)

A Comparison of End-to-End Models for Long-Form Speech Recognition. - Chung-Cheng Chiu; Anjuli Kannan; Rohit Prabhavalkar; Zhifeng Chen; Tara N. Sainath; Yonghui Wu; Wei Han 002; Yu Zhang 033; Ruoming Pang; Sergey Kishchenko; Patrick Nguyen; Arun Narayanan; et al. (ASRU, 2019)

Recognizing Long-Form Speech Using Streaming End-to-End Models. - Arun Narayanan; Rohit Prabhavalkar; Chung-Cheng Chiu; David Rybach; Tara N. Sainath; Trevor Strohman (ASRU, 2019)

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (ICASSP, 2020)

Anti-Aliasing Regularization in Stacking Layers. - Antoine Bruguier; Ananya Misra; Arun Narayanan; Rohit Prabhavalkar (INTERSPEECH, 2020)

Profit Allocation in Renewables Based Community Microgrids with Aggregation and Self-Sufficiency. - Arun Narayanan; Pedro H. J. Nardelli (PIMRC, 2020)

What is Energy Internet? Concepts, Technologies, and Future Directions. - Hafiz Majid Hussain; Arun Narayanan; Pedro H. J. Nardelli; Yongheng Yang (IEEE Access, 2020)

Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond. - Arun Narayanan; Arthur Sousa de Sena; Daniel Gutierrez-Rojas; Dick Carrillo Melgarejo; Hafiz Majid Hussain; Mehar Ullah; Suzan Bayhan; Pedro H. J. Nardelli (IEEE Access, 2020)

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (CoRR, 2020)

From private to public governance: The case for reconfiguring energy systems as a commons. - Christos Giotitsas; Pedro H. J. Nardelli; Vasilis Kostakis; Arun Narayanan (CoRR, 2020)

Cross-Attention Conformer for Context Modeling in Speech Enhancement for ASR. - Arun Narayanan; Chung-Cheng Chiu; Tom O'Malley; Quan Wang; Yanzhang He (ASRU, 2021)

A Conformer-Based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation. - Tom O'Malley; Arun Narayanan; Quan Wang; Alex Park 001; James Walker; Nathan Howard (ASRU, 2021)

Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. - Thibault Doutre; Wei Han 002; Min Ma; Zhiyun Lu; Chung-Cheng Chiu; Ruoming Pang; Arun Narayanan; Ananya Misra; Yu Zhang 033; Liangliang Cao (ICASSP, 2021)

A Better and Faster end-to-end Model for Streaming ASR. - Bo Li 028; Anmol Gulati; Jiahui Yu; Tara N. Sainath; Chung-Cheng Chiu; Arun Narayanan; Shuo-Yiin Chang; Ruoming Pang; Yanzhang He; James Qin; Wei Han 002; Qiao Liang 001; et al. (ICASSP, 2021)

Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. - Arun Narayanan; Tara N. Sainath; Ruoming Pang; Jiahui Yu; Chung-Cheng Chiu; Rohit Prabhavalkar; Ehsan Variani; Trevor Strohman (ICASSP, 2021)

Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. - Rohit Prabhavalkar; Yanzhang He; David Rybach; Sean Campbell; Arun Narayanan; Trevor Strohman; Tara N. Sainath (ICASSP, 2021)

FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. - Jiahui Yu; Chung-Cheng Chiu; Bo Li 028; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; Arun Narayanan; Wei Han 002; Anmol Gulati; Yonghui Wu; Ruoming Pang (ICASSP, 2021)

A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. - Ananya Misra; Dongseong Hwang; Zhouyuan Huo; Shefali Garg; Nikhil Siddhartha; Arun Narayanan; Khe Chai Sim (Interspeech, 2021)

Personalized Keyphrase Detection Using Speaker and Environment Information. - Rajeev Rikhye; Quan Wang; Qiao Liang 001; Yanzhang He; Ding Zhao; Yiteng Huang; Arun Narayanan; Ian McGraw (Interspeech, 2021)

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Ruoming Pang; David Rybach; Cyril Allauzen; Ehsan Variani; James Qin; Quoc-Nam Le-The; Shuo-Yiin Chang; Bo Li 028; et al. (Interspeech, 2021)

Packetized Energy Management Controller for Residential Consumers. - Hafiz Majid Hussain; Ashfaq Ahmad 001; Arun Narayanan; Pedro H. J. Nardelli; Yongheng Yang (ISGT-Europe, 2021)

Unified Framework to Select an IoT Platform for Industrial Energy Management Systems. - Mehar Ullah; Arun Narayanan; Annika Wolff; Pedro H. J. Nardelli (MIPRO, 2021)

Smart Grid Information Processes Using IoT and Big Data with Cloud and Edge Computing. - Mehar Ullah; Arun Narayanan; Annika Wolff; Pedro H. J. Nardelli (MIPRO, 2021)

RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. - Chung-Cheng Chiu; Arun Narayanan; Wei Han 002; Rohit Prabhavalkar; Yu Zhang 033; Navdeep Jaitly; Ruoming Pang; Tara N. Sainath; Patrick Nguyen; Liangliang Cao; Yonghui Wu (SLT, 2021)

Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience. - Daniel Gutierrez-Rojas; Aleksei Mashlakov; Christina Brester; Harri Niska; Mikko Kolehmainen; Arun Narayanan; Samuli Honkapuro; Pedro H. J. Nardelli (IEEE Access, 2021)

Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing. - Pedro H. J. Nardelli; Majid Hussein; Arun Narayanan; Yongheng Yang (CoRR, 2021)

Home Energy Management Systems: Operation and Resilience of Heuristics against Cyberattacks. - Hafiz Majid Hussain; Arun Narayanan; Subham Sahoo; Yongheng Yang; Pedro H. J. Nardelli; Frede Blaabjerg (CoRR, 2021)

Transducer-Based Streaming Deliberation for Cascaded Encoders. - Ke Hu; Tara N. Sainath; Arun Narayanan; Ruoming Pang; Trevor Strohman (ICASSP, 2022)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Extracting Targeted Training Data from ASR Models, and How to Mitigate It. - Ehsan Amid; Om Dipakbhai Thakkar; Arun Narayanan; Rajiv Mathews; Françoise Beaufays (INTERSPEECH, 2022)

Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. - Shaojin Ding; Rajeev Rikhye; Qiao Liang 001; Yanzhang He; Quan Wang; Arun Narayanan; Tom O'Malley; Ian McGraw (INTERSPEECH, 2022)

SNRi Target Training for Joint Speech Enhancement and Recognition. - Yuma Koizumi; Shigeki Karita; Arun Narayanan; Sankaran Panchapagesan; Michiel Bacchiani (INTERSPEECH, 2022)

A universally-deployable ASR frontend for joint acoustic echo cancellation, speech enhancement, and voice separation. - Thomas R. O'Malley; Arun Narayanan; Quan Wang (INTERSPEECH, 2022)

A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy. - Sankaran Panchapagesan; Arun Narayanan; Turaj Zakizadeh Shabestary; Shuai Shao; Nathan Howard; Alex Park 001; James Walker; Alexander Gruenstein (INTERSPEECH, 2022)

Streaming Noise Context Aware Enhancement for Automatic Speech Recognition in Multi-Talker Environments. - Joe Caroselli; Arun Narayanan; Yiteng Huang (IWAENC, 2022)

Learning Mask Scalars for Improved Robust Automatic Speech Recognition. - Arun Narayanan; James Walker; Sankaran Panchapagesan; Nathan Howard; Yuma Koizumi (SLT, 2022)

Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning. - Dick Carrillo Melgarejo; Jirí Pokorný; Pavel Seda; Arun Narayanan; Pedro H. J. Nardelli; Mehdi Rasti; Jiri Hosek; Milos Seda; Demóstenes Z. Rodríguez; Yevgeni Koucheryavy; Gustavo Fraidenraich (IEEE Access, 2022)

Collective Intelligence Using 5G: Concepts, Applications, and Challenges in Sociotechnical Environments. - Arun Narayanan; Mohamed Selim Korium; Dick Carrillo Melgarejo; Hafiz Majid Hussain; Arthur Sousa de Sena; Pedro E. Gória Silva; Daniel Gutierrez-Rojas; Mehar Ullah; Ali Esmaeel Nezhad; Mehdi Rasti; Evangelos Pournaras; Pedro H. J. Nardelli (IEEE Access, 2022)

Industrial Energy Management System: Design of a Conceptual Framework Using IoT and Big Data. - Mehar Ullah; Arun Narayanan; Annika Wolff; Pedro H. J. Nardelli (IEEE Access, 2022)

Mask scalar prediction for improving robust automatic speech recognition. - Arun Narayanan; James Walker; Sankaran Panchapagesan; Nathan Howard; Yuma Koizumi (CoRR, 2022)

A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation. - Tom O'Malley; Arun Narayanan; Quan Wang (CoRR, 2022)

Performance evaluation of machine learning for fault selection in power transmission lines. - Daniel Gutierrez-Rojas; Ioannis T. Christou; Daniel Dantas; Arun Narayanan; Pedro H. J. Nardelli; Yongheng Yang (Knowl. Inf. Syst., 2022)

Cleanformer: A Multichannel Array Configuration-Invariant Neural Enhancement Frontend for ASR in Smart Speakers. - Joseph Caroselli; Arun Narayanan; Nathan Howard; Tom O'Malley (ICASSP, 2023)

Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement. - Tom O'Malley; Shaojin Ding; Arun Narayanan; Quan Wang; Rajeev Rikhye; Qiao Liang 001; Yanzhang He; Ian McGraw (ICASSP, 2023)

On Training a Neural Residual Acoustic Echo Suppressor for Improved ASR. - Sankaran Panchapagesan; Turaj Zakizadeh Shabestary; Arun Narayanan (INTERSPEECH, 2023)

Collective Learning for Energy-centric Flexible Job Shop Scheduling. - Arun Narayanan; Evangelos Pournaras; Pedro H. J. Nardelli (ISIE, 2023)

Benchmarking of Heuristic Algorithms for Energy Router-Based Packetized Energy Management in Smart Homes. - Hafiz Majid Hussain; Ashfaq Ahmad 001; Arun Narayanan; Pedro H. J. Nardelli; Yongheng Yang (IEEE Syst. J., 2023)

Improving Acoustic Echo Cancellation for Voice Assistants Using Neural Echo Suppression and Multi-Microphone Noise Reduction. - Jens Heitkaemper; Arun Narayanan; Turaj Zakizadeh Shabestary; Sankaran Panchapagesan; James Walker; Bhalchandra Gajare; Shlomi Regev; Ajay Dudani; Alexander Gruenstein (ICASSP, 2024)

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. - Rohit Prabhavalkar; Zhong Meng; Weiran Wang; Adam Stooke; Xingyu Cai; Yanzhang He; Arun Narayanan; Dongseong Hwang; Tara N. Sainath; Pedro J. Moreno 001 (ICASSP, 2024)

Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. - Lun Wang 001; Om Thakkar 001; Zhong Meng; Nicole Rafidi; Rohit Prabhavalkar; Arun Narayanan (INTERSPEECH, 2024)

TfCleanformer: A streaming, array-agnostic, full- and sub-band modeling front-end for robust ASR. - Jens Heitkaemper; Joe Caroselli; Arun Narayanan; Nathan Howard (INTERSPEECH, 2024)

Quantifying Unintended Memorization in BEST-RQ ASR Encoders. - Virat Shejwalkar; Om Thakkar 001; Arun Narayanan (INTERSPEECH, 2024)

Pricing Mechanisms versus Non-Pricing Mechanisms for Demand Side Management in Microgrids. - Cassia Nunes Almeida; Arun Narayanan; Hafiz Majid Hussain; Pedro H. J. Nardelli (ISGT EUROPE, 2024)

Training Large ASR Encoders With Differential Privacy. - Geeticka Chauhan; Steve Chien; Om Thakkar 001; Abhradeep Thakurta; Arun Narayanan (SLT, 2024)

Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models. - Hongbin Liu; Lun Wang 001; Om Thakkar 001; Abhradeep Thakurta; Arun Narayanan (CoRR, 2024)

Can DeepFake Speech be Reliably Detected? - Hongbin Liu; Youzheng Chen; Arun Narayanan; Athula Balachandran; Pedro J. Moreno 001; Lun Wang (CoRR, 2024)

Intrusion detection system for cyberattacks in the Internet of Vehicles environment. - Mohamed Selim Korium; Mohamed Saber; Alexander Beattie; Arun Narayanan; Subham Sahoo; Pedro H. J. Nardelli (Ad Hoc Networks, 2024)

Image-based intrusion detection system for GPS spoofing cyberattacks in unmanned aerial vehicles. - Mohamed Selim Korium; Mohamed Saber; Ahmed Mahmoud Ahmed; Arun Narayanan; Pedro H. J. Nardelli (Ad Hoc Networks, 2024)

Bone Conducted Signal Guided Speech Enhancement For Voice Assistant on Earbuds. - Jens Heitkaemper; Joe Caroselli; Max McKinnon; Arun Narayanan; Nathan Howard (ICASSP, 2025)

Large-Scale Package Deliveries With Unmanned Aerial Vehicles Using Collective Learning. - Arun Narayanan; Evangelos Pournaras; Pedro H. J. Nardelli (IEEE Intell. Syst., 2025)