Biblio

In this article analysis of the effectiveness of the acoustic algorithm of the fingerprint in the conditions of various acoustic disturbances is presented and described. The described algorithm is stable and should identify music even in the presence of acoustic disturbances. This was checked in a series of tests in four different conditions: silence, street noise, noise from the railway station, noise from inside the moving car during rain. In the case of silence, 10 measurements were taken lasting 7 seconds each. For each of the remaining conditions, 21 attempts were made to identify the work. The capture time for each of the 21 trials was 7 seconds. Every 7 attempts were changed noise volume. Subsequently, they were disruptions at a volume lower than the volume of the intercepted song, another 7 with an altitude similar to the intercepted track, and the last with a much higher volume. The effectiveness of the algorithm was calculated for two different times, and general - for the average of two results. Base of "fingerprints" consisted of 20 previously analyzed music pieces belonging to different musical genres.