Abstract: Various exemplary aspects are directed to acoustic context recognition apparatuses and methods involving isolating and identifying context(s) of an acoustic environment. In one exemplary embodiment, source audio is converted into audio spectrograms, each spectrogram indicative of a period of time. The series of spectrograms are analyzed to identify audio patterns, over a period of time, which are indicative of an environmental context of the source audio. In many embodiments of the present disclosure, acoustic context recognition also includes comparing the identified audio patterns to known environmental contexts.

Abstract: According to a first aspect of the present disclosure, a mobile device is provided, comprising: a motion sensor configured to detect one or more movements of the mobile device; an audio sensor configured to capture one or more audio signals; a processing unit configured to determine a context of the mobile device in dependence on at least one movement detected by the motion sensor and at least one audio signal captured by the audio sensor. According to a second aspect of the present disclosure, a corresponding method for determining a context of a mobile device is conceived. According to a third aspect of the present disclosure, a corresponding computer program is provided.

Abstract: According to a first aspect of the present disclosure, a mobile device is provided, comprising: a motion sensor configured to detect one or more movements of the mobile device; an audio sensor configured to capture one or more audio signals; a processing unit configured to determine a context of the mobile device in dependence on at least one movement detected by the motion sensor and at least one audio signal captured by the audio sensor. According to a second aspect of the present disclosure, a corresponding method for determining a context of a mobile device is conceived. According to a third aspect of the present disclosure, a corresponding computer program is provided.

Abstract: Various exemplary aspects are directed to acoustic context recognition apparatuses and methods involving isolating and identifying context(s) of an acoustic environment. In one exemplary embodiment, source audio is converted into audio spectrograms, each spectrogram indicative of a period of time. The series of spectrograms are analyzed to identify audio patterns, over a period of time, which are indicative of an environmental context of the source audio. In many embodiments of the present disclosure, acoustic context recognition also includes comparing the identified audio patterns to known environmental contexts.