Spatial localization of speech and other natural sounds with rich spectro-temporal structure is a computationally challenging task. It requires extraction of features which are informative about speaker’s position and yet invariant to sound level and spectral modulation present in the signal. This paper demonstrates that this can be achieved with Independent Component Analysis (ICA) applied to ...

Spatial localization of speech and other natural sounds with rich spectro-temporal structure is a computationally challenging task. It requires extraction of features which are informative about speaker’s position and yet invariant to sound level and spectral modulation present in the signal. This paper demonstrates that this can be achieved with Independent Component Analysis (ICA) applied to ...

In this paper, music genre classification is addressed in a multilinear perspective. Inspired by a model of auditory cortical processing, multiscale spectro-temporal modulation features are extracted. Such spectro-temporal modulation features have been successfully used in various content-based audio classification tasks recently, but not yet in music genre classification. Each recording is rep...