This paper addresses a problem in sound event recognition, more specifically for home environments in which training data is not readily available.

Abstract—This paper addresses a problem in sound event recognition, more specifically for home environments in which training data is not readily available.

This paper addresses a problem in sound event recognition, more specifically for home environments in which training data is not readily available.

This paper addresses a problem in sound event recognition, more specifically for home environments in which training data is not readily available.

This research focuses on sound events found in home environments, which has a wide range of potential applications, however the audio signal received in the ...

“Adaptive Semi-supervised Tree SVM for Sound Event Recognition in Home. Environments” in Asia Pacific Signal and Information Processing Association. (APSIPA) ...

Adaptive semi-supervised tree SVM for sound event recognition in home environments. NWZ Terence, TH Dat, HT Hoa, CE Siong. 2013 Asia-Pacific Signal and ...

It will adaptively analyze the distribution of samples' confidence metrics, automatically select the most informative samples and re-train the core Tree SVM ...

Adaptive semi-supervised tree SVM for sound event recognition in home environments. NWZ Terence, TH Dat, HT Hoa, CE Siong. 2013 Asia-Pacific Signal and ...

2024/03/15 · This work summarizes and groups the existing techniques in terms of data processing, feature acquisition, and modeling.