کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
563916 1451969 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A local fingerprinting approach for audio copy detection
ترجمه فارسی عنوان
روش انگشت گذاری محلی برای تشخیص کپی صوتی
کلمات کلیدی
تشخیص کپی صوتی، بازیابی موسیقی، استخراج ویژگی صوتی، تشخیص الگو، یادگیری فرهنگ لغت رگرسیون خطی، پزشکی قانونی، تشخیص کپی چندرسانه ای
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• A new robust 2D representation of audio signals called time-chroma image.
• A novel scale invariant local feature extraction for the time chroma image.
• The proposed features greatly outperform the alternatives such as SIFT for audio signals.
• A novel pitch and tempo invariant song identification algorithm.

This study proposes an audio copy detection system that is robust to various attacks. These include the severe pitch shift and tempo change attacks which existing systems fail to detect. First, we propose a novel two dimensional representation for audio signals called the time-chroma image. This image is based on a modification of the concept of chroma in the music literature and is shown to achieve better performance in song identification. Then, we propose a novel fingerprinting algorithm that extracts local fingerprints from the time-chroma image. The proposed local fingerprinting algorithm is invariant to time/frequency scale changes in audio signals. It also outperforms existing methods like SIFT to a great extent. Finally, we introduce a song identification algorithm that uses the proposed fingerprints. The resulting copy detection system is shown to significantly outperform existing methods. Besides being able to detect whether a song (or a part of it) has been copied, the proposed system can accurately estimate the amount of pitch shift and/or tempo change that were applied to a song.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 98, May 2014, Pages 308–321
نویسندگان
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