Aswin Shanmugam Subramanian

Author

Also Known As

A Subramanian, A. Subramanian, Arvind Subramanian, Aswin Shanmugam Subramanian, Aswin Subramanian, Mr. Arvind Subramanian, Subramanian, Arvind, Subramanian, Aswin, Subramanian, Aswin Shanmugam

Publications

Citations

H-Index

Concepts

All Affiliations

Johns Hopkins University Paderborn University Mitsubishi Electric (United States)Carnegie Mellon University Northwestern Polytechnical University

About

Aswin Shanmugam Subramanian is an author at Johns Hopkins University specializing in engineering, speech recognition, and speech processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	17	868
2	Health Sciences	13	14	752
3	Computer Science	10	10	605
4	Computer Engineering	3	3	148
5	Language Studies	1	1	15

Aswin Shanmugam Subramanian

Publications

954

Citations

H-Index

Page 1

	Year	Citations
CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings Shinji Watanabe, Michael Mandel, Jon Barker, EngineeringMachine LearningChime Speech SeparationChime-6 ChallengeSpeech Recognition	2020	235
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings Shinji Watanabe, Michael Mandel, Jon Barker, arXiv (Cornell University) EngineeringMachine LearningChime Speech SeparationChime-6 ChallengeSpeech Recognition	2020	97
Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Computer Speech & Language Multi-talker Speech RecognitionEngineeringMachine LearningMulti-speaker Speech RecognitionRobust Speech Recognition	2022	85
ESPnet-se: end-to-end speech enhancement and separation toolkit designed\n for asr integration Chenda Li, Jing Shi, Wangyou Zhang, arXiv (Cornell University)	2020	75
Building State-of-the-art Distant Speech Recognition Using the CHiME-4 Challenge with a Setup of Speech Enhancement Baseline Szu-Jui Chen, Aswin Shanmugam Subramanian, Hainan Xu, Chime-4 ChallengeEngineeringMachine LearningSpeech EnhancementSpeech Enhancement Baseline	2018	74
The Hitachi/JHU CHiME-5 system: Advances in speech recognition for everyday home environments using multiple microphone arrays Naoyuki Kanda, Rintaro Ikeshita, Shota Horiguchi, EngineeringHitachi/jhu Chime-5 SystemHealth SciencesChime ChallengeRobust Speech Recognition	2018	57
Speech Enhancement Using End-to-End Speech Recognition Objectives Aswin Shanmugam Subramanian, Xiaofei Wang, Murali Karthick Baskar, Automatic Speech RecognitionMachine LearningDeep LearningEngineeringHealth Sciences	2019	57
Far-Field Location Guided Target Speech Extraction Using End-to-End Speech Recognition Objectives Aswin Shanmugam Subramanian, Chao Weng, Meng Yu, Source SeparationEngineeringMachine LearningSpeech EnhancementLocalization	2020	44
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition Xuankai Chang, Takashi Maekaku, Pengcheng Guo, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) EngineeringMachine LearningSpoken Language ProcessingSpeech DataSpeech Recognition	2021	44
The 2020 ESPnet Update: New Features, Broadened Applications, Performance Improvements, and Future Plans Shinji Watanabe, Florian Boyer, Xuankai Chang, EngineeringGeneric SequenceNew FeaturesSpeech RecognitionNatural Language Processing	2021	34

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