Abstract

This paper presents an implementation of a privacy-preserving music database matching algorithm, showing how privacy is achieved at the cost of computational complexity and execution time. The paper presents not only implementation details but also an analysis of the obtained results in terms of communication between the two parties, computational complexity, execution time and correctness of the matching algorithm. Although the paper focus on a music matching application, the principles can be easily adapted to perform other tasks, such as speaker verification and keyword spotting.

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