Till now, the project was almost finished. In this week, we focused on the program optimization and the poster designing.
As mentioned before, the program will match the chunk information to recognize the music. However, the chunks from the original song and the music clip cannot match each other accurately. The new chunk may slide some data points. Because that the chunk in this program contains 300 data points. As a result, the maximum uncertainty for the chunk match may occur when the chunk slid 150 data points. To determine the uncertainty reservation area, we took a 300 data points chunk from a music clip and then took another chunk which slid 150 data points to the original chunk. we tested 20 groups of these kinds of chunks. The result of the fingerprint of these chunks:
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| Table 1. Test data |
According to the results, the average value of the uncertainty was about 3. we set the reservation area as 3 for the index of areas: 0-49, 50-99, 100-150.
On the other hand, the poster could be seen in Figure 1.


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