Frequency Filtering for a Highly Robust Audio Fingerprinting Scheme in a Real-Noise Environment

Mansoo PARK; Hoi-Rin KIM; Yong Man RO; Munchurl KIM

doi:10.1093/ietisy/e89-d.7.2324

Frequency Filtering for a Highly Robust Audio Fingerprinting Scheme in a Real-Noise Environment

Mansoo PARK, Hoi-Rin KIM, Yong Man RO, Munchurl KIM

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The noise robustness of an audio fingerprinting system is one of the most important issues in music information retrieval by the content-based audio identification technique. In a real environment, sound recordings are commonly distorted by channel and background noise. Recently, Philips published a robust and efficient audio fingerprinting system for audio identification. To extract a robust and efficient audio fingerprint, Philips applied the first derivative (differential) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the noise robustness of Philips' audio fingerprinting scheme is still insufficient. In this paper, we introduce an extension method of the audio fingerprinting scheme for the enhancement of noise robustness. As an alternative to frequency filtering, a type of band-pass filter, instead of a high-pass filter, is used to achieve robustness to background noise in a real situation. Our experimental results show that the proposed filter improves the noise robustness in audio identification.

Publication: IEICE TRANSACTIONS on Information Vol.E89-D No.7 pp.2324-2327

Publication Date: 2006/07/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e89-d.7.2324

Type of Manuscript: LETTER

Category: Music Information Processing

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Mansoo PARK, Hoi-Rin KIM, Yong Man RO, Munchurl KIM, "Frequency Filtering for a Highly Robust Audio Fingerprinting Scheme in a Real-Noise Environment" in IEICE TRANSACTIONS on Information, vol. E89-D, no. 7, pp. 2324-2327, July 2006, doi: 10.1093/ietisy/e89-d.7.2324.
Abstract: The noise robustness of an audio fingerprinting system is one of the most important issues in music information retrieval by the content-based audio identification technique. In a real environment, sound recordings are commonly distorted by channel and background noise. Recently, Philips published a robust and efficient audio fingerprinting system for audio identification. To extract a robust and efficient audio fingerprint, Philips applied the first derivative (differential) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the noise robustness of Philips' audio fingerprinting scheme is still insufficient. In this paper, we introduce an extension method of the audio fingerprinting scheme for the enhancement of noise robustness. As an alternative to frequency filtering, a type of band-pass filter, instead of a high-pass filter, is used to achieve robustness to background noise in a real situation. Our experimental results show that the proposed filter improves the noise robustness in audio identification.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.7.2324/_p

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@ARTICLE{e89-d_7_2324,
author={Mansoo PARK, Hoi-Rin KIM, Yong Man RO, Munchurl KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Frequency Filtering for a Highly Robust Audio Fingerprinting Scheme in a Real-Noise Environment},
year={2006},
volume={E89-D},
number={7},
pages={2324-2327},
abstract={The noise robustness of an audio fingerprinting system is one of the most important issues in music information retrieval by the content-based audio identification technique. In a real environment, sound recordings are commonly distorted by channel and background noise. Recently, Philips published a robust and efficient audio fingerprinting system for audio identification. To extract a robust and efficient audio fingerprint, Philips applied the first derivative (differential) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the noise robustness of Philips' audio fingerprinting scheme is still insufficient. In this paper, we introduce an extension method of the audio fingerprinting scheme for the enhancement of noise robustness. As an alternative to frequency filtering, a type of band-pass filter, instead of a high-pass filter, is used to achieve robustness to background noise in a real situation. Our experimental results show that the proposed filter improves the noise robustness in audio identification.},
keywords={},
doi={10.1093/ietisy/e89-d.7.2324},
ISSN={1745-1361},
month={July},}

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TY - JOUR
TI - Frequency Filtering for a Highly Robust Audio Fingerprinting Scheme in a Real-Noise Environment
T2 - IEICE TRANSACTIONS on Information
SP - 2324
EP - 2327
AU - Mansoo PARK
AU - Hoi-Rin KIM
AU - Yong Man RO
AU - Munchurl KIM
PY - 2006
DO - 10.1093/ietisy/e89-d.7.2324
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2006
AB - The noise robustness of an audio fingerprinting system is one of the most important issues in music information retrieval by the content-based audio identification technique. In a real environment, sound recordings are commonly distorted by channel and background noise. Recently, Philips published a robust and efficient audio fingerprinting system for audio identification. To extract a robust and efficient audio fingerprint, Philips applied the first derivative (differential) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the noise robustness of Philips' audio fingerprinting scheme is still insufficient. In this paper, we introduce an extension method of the audio fingerprinting scheme for the enhancement of noise robustness. As an alternative to frequency filtering, a type of band-pass filter, instead of a high-pass filter, is used to achieve robustness to background noise in a real situation. Our experimental results show that the proposed filter improves the noise robustness in audio identification.
ER -