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MDCT-Based Perceptual Hashing for Compressed Audio Content ...

    https://www.academia.edu/9794249/MDCT_Based_Perceptual_Hashing_for_Compressed_Audio_Content_Identification#:~:text=The%20perceptual%20feature%20extraction%20is%20based%20on%20psychoacoustic,common%20audio%20signal%20processing%20and%20easy%20to%20implement.
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Content-Based Audio Retrieval Using Perceptual Hash | …

    https://ieeexplore.ieee.org/document/4604172/
    Content-Based Audio Retrieval Using Perceptual Hash Abstract: In this paper, a two-stage audio retrieval algorithm based on perceptual hash is proposed. In the first stage, the n-gram algorithm is used to index the perceptual hash values and filter the irrelevant candidates.

Content-Based Audio Retrieval Using Perceptual Hash

    https://www.researchgate.net/publication/224327095_Content-Based_Audio_Retrieval_Using_Perceptual_Hash
    Download Citation | Content-Based Audio Retrieval Using Perceptual Hash | In this paper, a two-stage audio retrieval algorithm based on perceptual hash …

Content-Based Audio Retrieval Using Perceptual Hash - 2008 ...

    http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004604172
    In this paper, a two-stage audio retrieval algorithm based on perceptual hash is proposed. In the first stage, the n-gram algorithm is used to index the perceptual hash values and filter the irrelevant candidates. In the second stage, the bit error …

Content-based Medical Image Annotation and Retrieval using ...

    http://iosrjen.org/Papers/vol2_issue4/AY24814818.pdf
    Content Based Audio Retrieval using Perceptual Hash algorithm was proposed by Qiong Li, Jing.Wu, Xin He. There are two stages exist: first, the indexing the perceptual hash values and removing the immaterial data is done using n-gram algorithm. Secondly, the …

Similarity-preserving hash for content-based audio ...

    https://www.researchgate.net/publication/348937881_Similarity-preserving_hash_for_content-based_audio_retrieval_using_unsupervised_deep_neural_networks/fulltext/6018447f45851517ef31d397/Similarity-preserving-hash-for-content-based-audio-retrieval-using-unsupervised-deep-neural-networks.pdf
    available, it is required content-based retrieval strategy that the perceptual aspects of the audio are utilized. [1]. Content-based audio retrieval approach is generally solved with two steps ...

Audio Perceptual Hashing Based on NMF and MDCT …

    https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/cje.2015.07.024
    Abstract — Audio perceptual hashing is a digest of audio contents, which is independent of content preserv-ing manipulations, such as MP3 compression, amplitude scaling, noise addition, etc. It provides a fast and reliable tool for identification, retrieval, and authentication of au-dio signals. A new audio hashing scheme based on non-

A Reliable Voice Perceptual Hash Authentication Algorithm ...

    https://link.springer.com/chapter/10.1007/978-3-030-89814-4_19
    Abstract. In order to protect the authenticity and integrity of voice, this paper proposes a reliable voice perceptual hash authentication algorithm. This algorithm considers the dynamic characteristics of voice signals and proposes a scheme to construct a perceptual feature matrix containing voice static and dynamic characteristics based on ...

A Visual Model-Based Perceptual Image Hash for …

    https://ieeexplore.ieee.org/document/7050251
    Abstract: Perceptual image hash has been widely investigated in an attempt to solve the problems of image content authentication and content-based image retrieval. In this paper, we combine statistical analysis methods and visual perception theory to develop a real perceptual image hash method for content authentication.

GitHub - viat/YapHash: YapHash is a perceptual …

    https://github.com/viat/YapHash
    YapHash - Yet Another Perceptual Hash. YapHash is a perceptual fingerprint for audio identification purposes. YapHash is part of the VIAT Project and therefore developed for detecting telephone-spam. Although it's been optimized for speech content, it …

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