Unsupervised feature learning for urban sound classification

• Published in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 171 - 175
• Main Authors: Salamon, Justin, Bello, Juan Pablo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2015
• Subjects: Accuracy; Context; Encoding; Engines; machine learning; Noise; sound classification; Speech; spherical k-means; Training data; Unsupervised learning; urban

Recent studies have demonstrated the potential of unsupervised feature learning for sound classification. In this paper we further explore the application of the spherical k-means algorithm for feature learning from audio signals, here in the domain of urban sound classification. Spherical k-means i...