| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2020: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2019: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Outline of Final Research Achievements |
In this research we develop a method to calculate audio finger print from an audio file sending via the internet and detect the song and controlling it's copyright. As the first result of this research, we establish a method to identify the calculated fingerprint from the billions number of songs in the audio fingerprint database using multi-GPGPUs. The second major result is a new audio fingerprint calculation algorithm. Conventional method calculates the fingerprint using 128k samples form the top of the audio file, thus the algorithm uses only 2.97 second of the song and it decrease the detection accuracy. We proposed a new sampling method that takes fingerprint samples from the whole of the music file, and we improve the detection accuracy. The final major result is to find the possibility of the design using high-level synthesis.
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