This paper presents a new approach to classify environmental sounds using a texture
feature local binary pattern (LBP) and audio features collaboration. To our knowledge, this is …

Deep learning has been successfully applied to learn local feature descriptors in recent
years. However, most of existing methods are supervised methods relying on a large …

Automatic speech/music classification is an important tool in multimedia content analysis
and retrieval which efficiently categorizes input audio and store it into relevant classes. This …

The Bayesian classification framework has been widely used in many fields, but the
covariance matrix is usually difficult to estimate reliably. To alleviate the problem, many …

Sound-event recognition often utilizes time-frequency analysis to produce an image-like
spectrogram that provides a rich visual representation of original signal in time and …

This work studies the multi-speaker tracking in the case of high reverberation. To remove the
spurious peaks caused by the reverberations, a density clustering concept is utilized to …