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Arun Narayanan
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2020 – today
- 2024
- [j16]Mohamed Selim Korium, Mohamed Saber, Alexander Beattie, Arun Narayanan, Subham Sahoo
, Pedro H. J. Nardelli:
Intrusion detection system for cyberattacks in the Internet of Vehicles environment. Ad Hoc Networks 153: 103330 (2024) - [j15]Mohamed Selim Korium
, Mohamed Saber, Ahmed Mahmoud Ahmed, Arun Narayanan, Pedro H. J. Nardelli:
Image-based intrusion detection system for GPS spoofing cyberattacks in unmanned aerial vehicles. Ad Hoc Networks 163: 103597 (2024) - [c59]Jens Heitkaemper, Arun Narayanan, Turaj Zakizadeh Shabestary, Sankaran Panchapagesan, James Walker, Bhalchandra Gajare, Shlomi Regev, Ajay Dudani, Alexander Gruenstein:
Improving Acoustic Echo Cancellation for Voice Assistants Using Neural Echo Suppression and Multi-Microphone Noise Reduction. ICASSP 2024: 736-740 - [c58]Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno:
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. ICASSP 2024: 11816-11820 - [i29]Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno:
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. CoRR abs/2402.17184 (2024) - [i28]Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan:
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. CoRR abs/2406.02004 (2024) - 2023
- [j14]Hafiz Majid Hussain
, Ashfaq Ahmad
, Arun Narayanan
, Pedro H. J. Nardelli
, Yongheng Yang
:
Benchmarking of Heuristic Algorithms for Energy Router-Based Packetized Energy Management in Smart Homes. IEEE Syst. J. 17(2): 2721-2732 (2023) - [c57]Joseph Caroselli, Arun Narayanan, Nathan Howard, Tom O'Malley:
Cleanformer: A Multichannel Array Configuration-Invariant Neural Enhancement Frontend for ASR in Smart Speakers. ICASSP 2023: 1-5 - [c56]Tom O'Malley, Shaojin Ding, Arun Narayanan, Quan Wang, Rajeev Rikhye, Qiao Liang, Yanzhang He, Ian McGraw:
Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement. ICASSP 2023: 1-5 - [c55]Sankaran Panchapagesan, Turaj Zakizadeh Shabestary, Arun Narayanan:
On Training a Neural Residual Acoustic Echo Suppressor for Improved ASR. INTERSPEECH 2023: 4019-4023 - [c54]Arun Narayanan, Evangelos Pournaras, Pedro H. J. Nardelli:
Collective Learning for Energy-centric Flexible Job Shop Scheduling. ISIE 2023: 1-6 - [i27]Arun Narayanan, Evangelos Pournaras, Pedro H. J. Nardelli:
Large-scale Package Deliveries with Unmanned Aerial Vehicles using Collective Learning. CoRR abs/2311.13489 (2023) - 2022
- [j13]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
:
Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning. IEEE Access 10: 53746-53760 (2022) - [j12]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
:
Collective Intelligence Using 5G: Concepts, Applications, and Challenges in Sociotechnical Environments. IEEE Access 10: 70394-70417 (2022) - [j11]Mehar Ullah
, Arun Narayanan
, Annika Wolff
, Pedro H. J. Nardelli
:
Industrial Energy Management System: Design of a Conceptual Framework Using IoT and Big Data. IEEE Access 10: 110557-110567 (2022) - [j10]Daniel Gutierrez-Rojas
, Ioannis T. Christou, Daniel Dantas, Arun Narayanan, Pedro H. J. Nardelli, Yongheng Yang:
Performance evaluation of machine learning for fault selection in power transmission lines. Knowl. Inf. Syst. 64(3): 859-883 (2022) - [c53]Ke Hu, Tara N. Sainath, Arun Narayanan, Ruoming Pang, Trevor Strohman:
Transducer-Based Streaming Deliberation for Cascaded Encoders. ICASSP 2022: 8107-8111 - [c52]Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang:
Improving The Latency And Quality Of Cascaded Encoders. ICASSP 2022: 8112-8116 - [c51]Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. INTERSPEECH 2022: 1173-1177 - [c50]Sankaran Panchapagesan, Arun Narayanan, Turaj Zakizadeh Shabestary, Shuai Shao, Nathan Howard, Alex Park, James Walker, Alexander Gruenstein:
A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy. INTERSPEECH 2022: 2538-2542 - [c49]Ehsan Amid, Om Dipakbhai Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays:
Extracting Targeted Training Data from ASR Models, and How to Mitigate It. INTERSPEECH 2022: 2803-2807 - [c48]Shaojin Ding, Rajeev Rikhye, Qiao Liang, Yanzhang He, Quan Wang, Arun Narayanan, Tom O'Malley, Ian McGraw:
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. INTERSPEECH 2022: 3744-3748 - [c47]Thomas R. O'Malley, Arun Narayanan, Quan Wang:
A universally-deployable ASR frontend for joint acoustic echo cancellation, speech enhancement, and voice separation. INTERSPEECH 2022: 3829-3833 - [c46]Joe Caroselli, Arun Narayanan, Yiteng Huang:
Streaming Noise Context Aware Enhancement for Automatic Speech Recognition in Multi-Talker Environments. IWAENC 2022: 1-5 - [c45]Arun Narayanan, James Walker, Sankaran Panchapagesan, Nathan Howard, Yuma Koizumi:
Learning Mask Scalars for Improved Robust Automatic Speech Recognition. SLT 2022: 317-323 - [i26]Shaojin Ding, Rajeev Rikhye, Qiao Liang, Yanzhang He, Quan Wang, Arun Narayanan, Tom O'Malley, Ian McGraw:
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. CoRR abs/2204.03793 (2022) - [i25]Ehsan Amid, Om Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays:
Extracting Targeted Training Data from ASR Models, and How to Mitigate It. CoRR abs/2204.08345 (2022) - [i24]Arun Narayanan, James Walker, Sankaran Panchapagesan, Nathan Howard, Yuma Koizumi:
Mask scalar prediction for improving robust automatic speech recognition. CoRR abs/2204.12092 (2022) - [i23]Sankaran Panchapagesan, Arun Narayanan, Turaj Zakizadeh Shabestary, Shuai Shao, Nathan Howard, Alex Park, James Walker, Alexander Gruenstein:
A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy. CoRR abs/2205.03481 (2022) - [i22]Joe Caroselli, Arun Narayanan, Yiteng Huang:
Streaming Noise Context Aware Enhancement For Automatic Speech Recognition in Multi-Talker Environments. CoRR abs/2205.08555 (2022) - [i21]Tom O'Malley, Arun Narayanan, Quan Wang:
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation. CoRR abs/2209.06410 (2022) - 2021
- [j9]Daniel Gutierrez-Rojas
, Aleksei Mashlakov
, Christina Brester
, Harri Niska, Mikko Kolehmainen, Arun Narayanan
, Samuli Honkapuro
, Pedro H. J. Nardelli
:
Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience. IEEE Access 9: 163108-163121 (2021) - [c44]Tom O'Malley, Arun Narayanan, Quan Wang, Alex Park, James Walker, Nathan Howard:
A Conformer-Based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation. ASRU 2021: 304-311 - [c43]Arun Narayanan, Chung-Cheng Chiu, Tom O'Malley, Quan Wang, Yanzhang He:
Cross-Attention Conformer for Context Modeling in Speech Enhancement for ASR. ASRU 2021: 312-319 - [c42]Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman:
Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. ICASSP 2021: 5629-5633 - [c41]Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster end-to-end Model for Streaming ASR. ICASSP 2021: 5634-5638 - [c40]Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. ICASSP 2021: 5659-5663 - [c39]Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang:
FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. ICASSP 2021: 6004-6008 - [c38]Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao:
Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. ICASSP 2021: 6558-6562 - [c37]Ananya Misra, Dongseong Hwang, Zhouyuan Huo, Shefali Garg, Nikhil Siddhartha, Arun Narayanan, Khe Chai Sim:
A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models. Interspeech 2021: 731-735 - [c36]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, Anmol Gulati, Jiahui Yu, Chung-Cheng Chiu, Diamantino Caseiro, Wei Li, Qiao Liang, Pat Rondon:
An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. Interspeech 2021: 1777-1781 - [c35]Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Yiteng Huang, Arun Narayanan, Ian McGraw:
Personalized Keyphrase Detection Using Speaker and Environment Information. Interspeech 2021: 4204-4208 - [c34]Hafiz Majid Hussain, Ashfaq Ahmad, Arun Narayanan, Pedro H. J. Nardelli, Yongheng Yang:
Packetized Energy Management Controller for Residential Consumers. ISGT-Europe 2021: 1-6 - [c33]Mehar Ullah, Arun Narayanan, Annika Wolff, Pedro H. J. Nardelli:
Industrial Energy Management System: Design of a Conceptual Framework using IoT and Big Data. ISGT-Europe 2021: 1-6 - [c32]Mehar Ullah, Arun Narayanan, Annika Wolff, Pedro H. J. Nardelli:
Unified Framework to Select an IoT Platform for Industrial Energy Management Systems. MIPRO 2021: 950-955 - [c31]Mehar Ullah, Arun Narayanan, Annika Wolff, Pedro H. J. Nardelli:
Smart Grid Information Processes Using IoT and Big Data with Cloud and Edge Computing. MIPRO 2021: 956-961 - [c30]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT 2021: 873-880 - [i20]Pedro H. J. Nardelli, Majid Hussein, Arun Narayanan, Yongheng Yang:
Virtual Microgrid Management via Software-defined Energy Network for Electricity Sharing. CoRR abs/2102.00656 (2021) - [i19]Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ding Zhao, Yiteng Huang, Arun Narayanan, Ian McGraw:
Personalized Keyphrase Detection using Speaker and Environment Information. CoRR abs/2104.13970 (2021) - [i18]Hafiz Majid Hussain, Ashfaq Ahmad, Arun Narayanan, Pedro H. J. Nardelli, Yongheng Yang:
Packetized Energy Management Controller for Residential Consumers. CoRR abs/2108.08535 (2021) - [i17]Hafiz Majid Hussain, Arun Narayanan, Subham Sahoo, Yongheng Yang, Pedro H. J. Nardelli, Frede Blaabjerg:
Home Energy Management Systems: Operation and Resilience of Heuristics against Cyberattacks. CoRR abs/2109.11627 (2021) - [i16]Arun Narayanan, Chung-Cheng Chiu, Tom O'Malley, Quan Wang, Yanzhang He:
Cross-attention conformer for context modeling in speech enhancement for ASR. CoRR abs/2111.00127 (2021) - [i15]Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. CoRR abs/2111.00764 (2021) - [i14]Tom O'Malley, Arun Narayanan, Quan Wang, Alex Park, James Walker, Nathan Howard:
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation. CoRR abs/2111.09935 (2021) - 2020
- [j8]Hafiz Majid Hussain
, Arun Narayanan
, Pedro H. J. Nardelli
, Yongheng Yang
:
What is Energy Internet? Concepts, Technologies, and Future Directions. IEEE Access 8: 183127-183145 (2020) - [j7]Arun Narayanan
, Arthur Sousa de Sena
, Daniel Gutierrez-Rojas
, Dick Carrillo Melgarejo
, Hafiz Majid Hussain
, Mehar Ullah
, Suzan Bayhan, Pedro H. J. Nardelli
:
Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond. IEEE Access 8: 206734-206754 (2020) - [c29]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP 2020: 6059-6063 - [c28]Antoine Bruguier, Ananya Misra, Arun Narayanan, Rohit Prabhavalkar
:
Anti-Aliasing Regularization in Stacking Layers. INTERSPEECH 2020: 314-318 - [c27]Arun Narayanan, Pedro H. J. Nardelli:
Profit Allocation in Renewables Based Community Microgrids with Aggregation and Self-Sufficiency. PIMRC 2020: 1-6 - [i13]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR abs/2003.12710 (2020) - [i12]Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR abs/2005.03271 (2020) - [i11]Christos Giotitsas, Pedro H. J. Nardelli, Vasilis Kostakis, Arun Narayanan:
From private to public governance: The case for reconfiguring energy systems as a commons. CoRR abs/2008.04028 (2020) - [i10]Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang:
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization. CoRR abs/2010.11148 (2020) - [i9]Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao:
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR abs/2010.12096 (2020) - [i8]Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman:
Cascaded encoders for unifying streaming and non-streaming ASR. CoRR abs/2010.14606 (2020) - [i7]Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster End-to-End Model for Streaming ASR. CoRR abs/2011.10798 (2020) - [i6]Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. CoRR abs/2012.06749 (2020)
2010 – 2019
- 2019
- [c26]Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang:
A Comparison of End-to-End Models for Long-Form Speech Recognition. ASRU 2019: 889-896 - [c25]Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing Long-Form Speech Using Streaming End-to-End Models. ASRU 2019: 920-927 - [i5]Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing long-form speech using streaming end-to-end models. CoRR abs/1910.11455 (2019) - [i4]Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu:
A comparison of end-to-end models for long-form speech recognition. CoRR abs/1911.02242 (2019) - 2018
- [c24]Chanwoo Kim, Tara N. Sainath, Arun Narayanan, Ananya Misra, Rajeev C. Nongpiur, Michiel Bacchiani:
Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition. ICASSP 2018: 5729-5733 - [c23]Khe Chai Sim, Arun Narayanan, Ananya Misra, Anshuman Tripathi, Golan Pundak, Tara N. Sainath, Parisa Haghani, Bo Li, Michiel Bacchiani:
Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. INTERSPEECH 2018: 892-896 - [c22]Chanwoo Kim, Ehsan Variani, Arun Narayanan, Michiel Bacchiani:
Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models. INTERSPEECH 2018: 3028-3032 - [c21]Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward Domain-Invariant Speech Recognition via Large Scale Training. SLT 2018: 441-447 - [c20]Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters:
From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding. SLT 2018: 720-726 - [i3]Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward domain-invariant speech recognition via large scale training. CoRR abs/1808.05312 (2018) - [i2]Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters:
From Audio to Semantics: Approaches to end-to-end spoken language understanding. CoRR abs/1809.09190 (2018) - 2017
- [j6]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Bo Li
, Arun Narayanan, Ehsan Variani, Michiel Bacchiani, Izhak Shafran, Andrew W. Senior, Kean K. Chin, Ananya Misra, Chanwoo Kim:
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 965-979 (2017) - [c19]Khe Chai Sim, Arun Narayanan, Tom Bagby, Tara N. Sainath, Michiel Bacchiani:
Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. ASRU 2017: 258-264 - [c18]Chanwoo Kim, Ananya Misra, Kean K. Chin, Thad Hughes, Arun Narayanan, Tara N. Sainath, Michiel Bacchiani:
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home. INTERSPEECH 2017: 379-383 - [c17]Bo Li, 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, Kevin W. Wilson, Ehsan Variani, Chanwoo Kim, Olivier Siohan, Mitchel Weintraub, Erik McDermott, Richard Rose, Matt Shannon:
Acoustic Modeling for Google Home. INTERSPEECH 2017: 399-403 - [c16]Khe Chai Sim, Arun Narayanan:
An Efficient Phone N-Gram Forward-Backward Computation Using Dense Matrix Multiplication. INTERSPEECH 2017: 1646-1650 - [c15]Tara N. Sainath, Vijayaditya Peddinti, Olivier Siohan, Arun Narayanan:
Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training. INTERSPEECH 2017: 3542-3546 - [c14]Joe Caroselli, Izhak Shafran, Arun Narayanan, Richard Rose:
Adaptive Multichannel Dereverberation for Automatic Speech Recognition. INTERSPEECH 2017: 3877-3881 - [c13]Arun Narayanan, Tero Kaipia, Jarmo Partanen:
Interruption reduction in secondary substations using battery energy storage systems. ISGT Europe 2017: 1-6 - [p2]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Bo Li, Ehsan Variani, Izhak Shafran, Andrew W. Senior, Kean K. Chin, Ananya Misra, Chanwoo Kim:
Raw Multichannel Processing Using Deep Neural Networks. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 105-133 - [i1]Chanwoo Kim, Ehsan Variani, Arun Narayanan, Michiel Bacchiani:
Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models. CoRR abs/1712.03439 (2017) - 2016
- [c12]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani:
Factored spatial and spectral multichannel raw waveform CLDNNs. ICASSP 2016: 5075-5079 - [c11]Tara N. Sainath, Arun Narayanan, Ron J. Weiss, Ehsan Variani, Kevin W. Wilson, Michiel Bacchiani, Izhak Shafran:
Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction. INTERSPEECH 2016: 1971-1975 - [c10]Arun Narayanan, Tero Kaipia, Jarmo Partanen:
Economic benefits of photovoltaic-based systems for residential customers participating in open electricity markets. ISGT Europe 2016: 1-6 - 2015
- [j5]Arun Narayanan, DeLiang Wang:
Improving Robustness of Deep Neural Network Acoustic Models via Speech Separation and Joint Adaptive Training. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 92-101 (2015) - [c9]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Andrew W. Senior:
Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms. ASRU 2015: 30-36 - [c8]Arun Narayanan, Ananya Misra, Kean K. Chin:
Large-scale, sequence-discriminative, joint adaptive training for masking-based robust ASR. INTERSPEECH 2015: 3571-3575 - 2014
- [j4]Arun Narayanan, DeLiang Wang:
Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 826-835 (2014) - [j3]Yuxuan Wang, Arun Narayanan, DeLiang Wang:
On training targets for supervised speech separation. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 1849-1858 (2014) - [c7]Arun Narayanan, DeLiang Wang:
Joint noise adaptive training for robust automatic speech recognition. ICASSP 2014: 2504-2508 - [c6]Michael I. Mandel, Arun Narayanan:
Analysis-by-synthesis feature estimation for robust automatic speech recognition using spectral masks. ICASSP 2014: 2509-2513 - 2013
- [j2]William Hartmann, Arun Narayanan, Eric Fosler-Lussier, DeLiang Wang:
A Direct Masking Approach to Robust ASR. IEEE Trans. Speech Audio Process. 21(10): 1993-2005 (2013) - [c5]Arun Narayanan, DeLiang Wang:
Coupling binary masking and robust ASR. ICASSP 2013: 6817-6821 - [c4]Arun Narayanan, DeLiang Wang:
Ideal ratio mask estimation using deep neural networks for robust speech recognition. ICASSP 2013: 7092-7096 - 2012
- [j1]Arun Narayanan, DeLiang Wang:
A CASA-Based System for Long-Term SNR Estimation. IEEE Trans. Speech Audio Process. 20(9): 2518-2527 (2012) - [c3]Arun Narayanan, DeLiang Wang:
On the Role of Binary Mask Pattern in Automatic Speech Recognition. INTERSPEECH 2012: 1239-1242 - [p1]Arun Narayanan, DeLiang Wang:
Computational Auditory Scene Analysis and Automatic Speech Recognition. Techniques for Noise Robustness in Automatic Speech Recognition 2012: 433-462 - 2011
- [c2]Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric Fosler-Lussier:
Robust speech recognition using multiple prior models for speech reconstruction. ICASSP 2011: 4800-4803 - [c1]Arun Narayanan, DeLiang Wang:
On the use of ideal binary masks for improving phonetic classification. ICASSP 2011: 5212-5215
Coauthor Index
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