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Proceedings ArticleDOI

Robust audio fingerprint extraction algorithm based on 2-D chroma

TLDR
An improved audio fingerprinting extraction algorithm which was proposed by Shazam company is proposed, which uses a combinatorial hashed time-frequency analysis of the audio, yielding unusual properties in which multiple tracks mixed together may each be identified.
Abstract
Audio fingerprinting, like human fingerprint, identifies audio clips from a large number of databases successfully, even when the audio signals are slightly or seriously distorted. In the paper, based on 2-D, we propose an improved audio fingerprinting extraction algorithm which was proposed by Shazam company. The algorithm uses a combinatorial hashed time-frequency analysis of the audio, yielding unusual properties in which multiple tracks mixed together may each be identified. The results of experiment verify the improvement in the retrieval speed and accuracy.

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Citations
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Journal ArticleDOI

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

TL;DR: An inclusive survey on key indoor technologies and techniques is carried out with to view to explore their various benefits, limitations, and areas for improvement, and advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems.
Journal ArticleDOI

An efficient perceptual hashing based on improved spectral entropy for speech authentication

TL;DR: Combined with the linear prediction-minimum mean squared error (LP-MMSE), an efficient perceptual hashing algorithm based on improved spectral entropy for speech authentication was proposed in this paper and Experimental results show that the proposed algorithm was better than other existing methods in compactness.
Patent

Audio matching method and device and electronic equipment

TL;DR: In this article, an audio matching method and device and electronic equipment is described. And audio matching results of the audio segments are merged to obtain a matching result of the to-be-matched audio data.
Proceedings ArticleDOI

Fast content-based audio retrieval algorithm

TL;DR: A fast algorithm is proposed to the audio content-based retrieval with the fingerprint technique, based on the extraction of the frequency features of the audio and a hash function, which has a high success rate and a response time lower than other techniques.
References
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Journal ArticleDOI

A Highly Robust Audio Fingerprinting System With an Efficient Search Strategy

TL;DR: An audio fingerprinting system that uses the fingerprint of an unknown audio clip as a query on a fingerprint database, which contains the fingerprints of a large library of songs, the audio clip can be identified.
Proceedings ArticleDOI

A novel audio fingerprinting method robust to time scale modification and pitch shifting

TL;DR: A novel audio fingerprinting method that is highly robust to Time Scale Modification (TSM) and pitch shifting is proposed, based on computer-vision techniques that transforms each 1-D audio signal into a 2-D image and treats TSM and pitch shift of the audio signal as stretch and translation of the corresponding image.
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