Automatic General Audio Signal Classification
Kun Qian · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · 2018
Automatic General Audio Signal Classification focuses more on machine listening based recognition of daily life audio signals rather than speech or music. This thesis proposes three typical tasks, i.e., snore sound classification, bird sound classification, and acoustic scene classification, which represent the possible applications on healthcare, ecological monitoring, public/home security surveillance, respectively.