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: An audio processing device includes a first microphone configured to receive a first signal a second microphone configured to receive a second signal, a noise reduction gain determination circuit configured to determine a noise reduction gain based on the first signal and the second signal, a noise reduction circuit configured to attenuate the first signal based on the determined noise reduction gain, and an output circuit configured to output the attenuated signal.

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: A method for processing audio signals is provided comprising outputting an audio signal; receiving the output audio signal via a first receiving path as a first received audio signal; receiving the output audio signal via a second receiving path as a second received audio signal; determining an echo suppression gain based on the first received audio signal and the second received audio signal; and filtering echo suppression of the audio signal based on the first received audio signal and the echo suppression gain.

Abstract: An audio processing device includes a first microphone configured to receive a first signal a second microphone configured to receive a second signal, a noise reduction gain determination circuit configured to determine a noise reduction gain based on the first signal and the second signal, a noise reduction circuit configured to attenuate the first signal based on the determined noise reduction gain, and an output circuit configured to output the attenuated signal.

Abstract: Embodiments of the invention include a device for reducing noise. The device may include a storage configured to store noise data; a processor configured to: classify a segment of noise utilizing noise data which was accumulated prior to initiation of a communication session; estimate the segment of noise, utilizing information received from the noise classification; and select a noise profile which accounts for a user's current context based on a context defined by the data which was accumulated prior to initiation of the communication session.

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: A mechanism is described for facilitating echo watermarking and filtering at computing devices according to one embodiment. A method of embodiments, as described herein, includes assigning a watermark to a communication signal, where the watermarked communication signal transforms into a watermarked echo upon exiting a computing device. The method may further include receiving the watermarked echo, filtering the watermarked echo such that the watermarked echo is cancelled out of a final signal, and transmitting the final signal that is free of the watermarked echo.

Abstract: Embodiments of the invention include a device for reducing noise. The device may include a storage configured to store noise data; a processor configured to: classify a segment of noise utilizing noise data which was accumulated prior to initiation of a communication session; estimate the segment of noise, utilizing information received from the noise classification; and select a noise profile which accounts for a user's current context based on a context defined by the data which was accumulated prior to initiation of the communication session.

Abstract: A method for processing an audio signal is described comprising receiving a first audio signal via a first receiving path comprising a first microphone; receiving a second audio signal via a second receiving path comprising a second microphone; and performing echo suppression of the first audio signal based on the first audio signal and the second audio signal.

Abstract: A method for processing an audio signal is described comprising receiving a first audio signal via a first receiving path comprising a first microphone; receiving a second audio signal via a second receiving path comprising a second microphone; and performing echo suppression of the first audio signal based on the first audio signal and the second audio signal.

Abstract: A method for processing audio signals is provided comprising outputting an audio signal; receiving the output audio signal via a first receiving path as a first received audio signal; receiving the output audio signal via a second receiving path as a second received audio signal; determining an echo suppression gain based on the first received audio signal and the second received audio signal; and filtering echo suppression of the audio signal based on the first received audio signal and the echo suppression gain.