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ORCIDMadhusudan Singh 0004
Person information
- affiliation: National Institute of Technology Nagaland, Department of Electronics and Communication Engineering, Dimapur, India
Other persons with the same name
- Madhusudan Singh — disambiguation page
- Madhusudan Singh 0001
![[0000-0001-6913-5200]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6913-5200")
— Woosong University, Endicott College of International Studies, Daejeon, South Korea (and 3 more) - Madhusudan Singh 0002 — Delhi Technological University, Department of Electrical Engineering, India
- Madhusudan Singh 0003 — Netaji Subhas Institute of Technology (NSIT), Department of Instrumentation and Control Engineering, New Delhi, India
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Journal Articles
- 2024
[j3]Suresh Veesa, Madhusudan Singh:
Implicit processing of linear prediction residual for replay attack detection. Int. J. Speech Technol. 27(3): 781-791 (2024)- 2021
- [j2]Krishna Dutta, Madhusudan Singh, Debadatta Pati:
Detection of replay signals using excitation source and shifted CQCC features. Int. J. Speech Technol. 24(2): 497-507 (2021) - 2019
- [j1]Madhusudan Singh, Debadatta Pati:
Combining evidences from Hilbert envelope and residual phase for detecting replay attacks. Int. J. Speech Technol. 22(2): 313-326 (2019)
Conference and Workshop Papers
- 2023
- [c5]Suresh Veesa, Badugu Vamsi Krishna, Madhusudan Singh:
Fusion of RMFCC and RCQCC Features for Replay Attack Detection Task. IoTaIS 2023: 242-246 - 2020
- [c4]Madhusudan Singh:
A Survey on Linear Prediction Residual based Replay Attack Detection System. IoTaIS 2020: 14-17 - 2018
- [c3]Madhusudan Singh, Debadatta Pati:
Linear Prediction Residual based Short-term Cepstral Features for Replay Attacks Detection. INTERSPEECH 2018: 751-755 - [c2]Jagabandhu Mishra, Madhusudan Singh, Debadatta Pati:
Processing linear prediction residual signal to counter replay attacks. SPCOM 2018: 95-99 - 2017
- [c1]Madhusudan Singh, Jagabandhu Mishra, Debadatta Pati:
Usefulness of linear prediction residual signal for development of replay attacks detection system. NCC 2017: 1-4
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