Bril, I. (2014) Detecting Music in an Everyday, Noisy environment. Bachelor's Thesis, Artificial Intelligence.
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Abstract
This paper is written to describe how music can be broken down to features understandable for a computer using Continuity Preserving Signal Processing. The music used in this project was mixed with ambient noise consisting of seventeen everyday scenarios. By analyzing the sound samples and extracting general features that may indicate music it has been made possible to design and implement a detector which can detect music in seventeen everyday scenarios using these features. This paper shows how the features were found, the design process of the detector, its early results and mentions possible improvements.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:56 |
| Last Modified: | 15 Feb 2018 07:56 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/11676 |
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