Audio fingerprint application for media industry
This project aims to demonstrate one potential application of audio fingerprinting algorithm in media industry in the form of a mobile application which is able to detect and identify advertisement tracks and notify the user of related details and offers. Similar concepts found in a commercially-use...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/73946 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project aims to demonstrate one potential application of audio fingerprinting algorithm in media industry in the form of a mobile application which is able to detect and identify advertisement tracks and notify the user of related details and offers. Similar concepts found in a commercially-used audio fingerprinting algorithm are used as a base for the implementation. The audio fingerprinting algorithm extracts different attributes from an audio file, processes them into audio fingerprints, and compares them with a database of audio fingerprints to find the closest-matching audio file.
The application is currently tested on a small-scale database, and shows a respectable performance regarding speed, accuracy, and robustness against noise. In the future, the application can be further developed by testing it on a large-scale remote database and improving its performance by enhancing the hashing algorithm, utilizing ultrasound region, and tweaking the algorithm parameters. |
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