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Audio Digital Signature Algorithm with Tamper Detection
https://www.researchgate.net/publication/224602321_Audio_Digital_Signature_Algorithm_with_Tamper_Detection
Audio Digital Signature Algorithm with Tamper Detection ...
https://dlnext.acm.org/doi/10.1109/IAS.2009.258
Home Browse by Title Proceedings IAS '09 Audio Digital Signature Algorithm with Tamper Detection. Article . Free Access. Audio Digital Signature Algorithm with Tamper Detection. Share on. Authors: Xiaoyuan Yang. View Profile, Xiang Wu. View Profile, Minqing Zhang. View Profile.
Audio Digital Signature Algorithm with Tamper Detection
https://www.computer.org/csdl/proceedings-article/ias/2009/3744a015/12OmNAYGlnK
A Robust Feature Extraction Algorithm for Audio …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.607.97
Digital Signature Algorithm (DSA): Overview & How it …
https://www.simplilearn.com/tutorials/cryptography-tutorial/digital-signature-algorithm
Hash and Signature Algorithms - Win32 apps | Microsoft …
https://docs.microsoft.com/en-us/windows/win32/seccrypto/hash-and-signature-algorithms
Digital Signature Algorithms — PyJWT 2.3.0 documentation
https://pyjwt.readthedocs.io/en/latest/algorithms.html
Digital Signature Algorithms. The JWT specification supports several algorithms for cryptographic signing. This library currently supports: HS256 - HMAC using SHA-256 hash algorithm (default) HS384 - HMAC using SHA-384 hash algorithm. HS512 - HMAC using SHA-512 hash algorithm. ES256 - ECDSA signature algorithm using SHA-256 hash algorithm.
A Robust Feature Extraction Algorithm for Audio Fingerprinting
http://www.jdl.ac.cn/doc/2008/a%20robust%20feature%20extraction%20algorithm%20for%20audio%20fingerprinting.pdf
A Robust Feature Extraction Algorithm for Audio Fingerprinting Jianping Chen1 Tiejun Huang2 1 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China 2 Key Laboratory of Machine Perception(Ministry of Education), Peking University, Beijing 100871, China {jpchen, tjhuang}@jdl.ac.cn Abstract. In this paper, we present a new feature extraction …
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