Audio-based radio and TV broadcast monitoring
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This paper describes a scalable real-time audio fingerprinting system developed by IBOPE Midia for radio and TV broadcast monitoring. A special temporal feature extraction strategy based on the Short-Time Fourier Transform has been designed. When given an input stream to analyse, the system matches it against the database and automatically recognizes instances of the previously registered samples within the input stream. The algorithm exploits the temporal evolution of the signal frequency spectrum in order to identify patterns and produce the final classification. The database is clusterized in order to provide an efficient and scalable search strategy. The system has been assessed using a database containing 393 distinct commercials. A 41-hour audio stream from three different TV channels has been analysed in less than 3 hours, attaining a 95.4% recognition rate.
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