Title :
A noise robust audio fingerprint extraction technique for mobile devices using gradient histograms
Author :
Taejin Park;SeungKwon Beack;Taejin Lee
Author_Institution :
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Realistic Broadcasting Media Research Department, Audio and Acoustics Research Section Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea
Abstract :
Audio fingerprinting technology is commonly used in the field of automatic content recognition (ACR). Although various audio fingerprinting techniques have previously been proposed, we propose an advanced landmark extraction technique built on gradient-based features. With the widespread use of smart phones, a large number of audio fingerprinting applications are currently running on mobile phones in outdoor environments. As a result, these audio fingerprinting systems suffer from noise interference. To overcome this problem, we propose a novel scheme to effectively extract salient features and identify an audio signal from them. Test results show that our proposed approach can more accurately identify an audio signal in a noisy environment.
Keywords :
"Conferences","Consumer electronics"
Conference_Titel :
Consumer Electronics - Berlin (ICCE-Berlin), 2015 IEEE 5th International Conference on
DOI :
10.1109/ICCE-Berlin.2015.7391259