Audio fingerprint application for media industry

• Main Author: Kusuma, Andrew Putra
• Other Authors: Owen Noel Newton Fernando
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/73946
• Institution: Nanyang Technological University

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.