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This paper presents the use of GPUs (graphic processing units) for implementing an efficient audio fingerprinting (AFP) system for audio music retrieval. Such a music retrieval system can compare a 10-second recording of exact but noisy audio clip to the database of more than 100K songs on a single PC with GPU cards. Due to the use of GPUs, we can achieve a speedup factor of 14 for audio comparison,...
This paper presents the use of GPUs for implementing a parallelized comparison engine in a query-by-singing/humming (QBSH) system, which takes a user's singing or humming input and returns the most likely song from a database of about 13,000 song tracks. To speed up the comparison, we employ repeating pattern removal to retain only unique tunes in the database. Moreover, we explore different parallel...
This paper presents the use of GPU for implementing a parallelized comparison method of linear scaling in a query by singing/humming system, which can compare a user's acoustic input to the database containing about 13,000 songs. We focus on the comparison from anywhere in a song, and the optimum setting is found through 3 different schemes of parallelization. With a speedup factor of 66, the proposed...
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