Audio fingerprinting based on spectral energy structure and NMF

Audio fingerprint is also named audio hashing, which is a content-based identification technique that can be used to label an unknown audio recording. Here we introduce an audio fingerprinting algorithm based on spectral energy structure and NMF(non-negative matrix factorization) algorithm. Firstly, a matrix of audio features is generated based on the spectral subband energy of audio signal. Then NMF is performed on this matrix to capture local characteristics of audio signal, which is expected to reduce the possibility of Declassification. Experimental results suggest that the proposed scheme can achieve good recognition accuracy and can be used in applications such as broadcast monitoring and audio excerpt identification by a mobile phone.