Audio classification method based on non-negative tensor factorization

To improve the accuracy of audio classification, a classification method based on non-negative tensor factorization(NTF) was proposed. Firstly, acoustics features and perceptual features were extracted after preprocessing of audio signal. Then, a 3-order non-negative tensor was constructed, the orders being features, frames and samples, respectively. Secondly, core tensor and factor matrixes of each class of audio were obtained by using NTF. Next, test tensor was multiplied by transpose of factor matrixes of each class to obtain approximate tensor of core tensor. Finally, audio samples were classed by using Frobenius norm similarity measure. Experiments including classical music, popular music, speech and noise were provided to demonstrate the performance of audio classification. Results showed that the mean classification accuracy rate is above 85%, which proves that the proposed method can class audio effectively.