Abstract: A hearing assistance device is discussed that has one or more accelerometers, a user interface, and optionally a left/right determination module is configured to receive input data from the one or more accelerometers from user actions causing control signals as sensed by the accelerometers to trigger a program change for an audio configuration for the device selected from a group consisting of a change in amplification/volume control, a change in a mute mode, a change of a hear loss profile loaded into that hearing assistance device, and a change in a play-pause mode.

Abstract: A device is discussed, such as the hearing assistance device itself and/or an electrical charger cooperating with the hearing assistance device. The device can have one or more accelerometers and a power control module to receive input data indicating a change in acceleration of the device over time from the one or more accelerometers in order to make a determination to autonomously change a power mode for the hearing assistance device based on at least whether the power control module senses movement of the hearing assistance device as indicated by the accelerometers.

Abstract: A hearing assistance device is discussed that has one or more accelerometers, a user interface, and optionally a left/right determination module is configured to receive input data from the one or more accelerometers from user actions causing control signals as sensed by the accelerometers to trigger a program change for an audio configuration for the device selected from a group consisting of a change in amplification/volume control, a change in a mute mode, a change of a hear loss profile loaded into that hearing assistance device, and a change in a play-pause mode.

Abstract: A device is discussed, such as the hearing assistance device itself and/or an electrical charger cooperating with the hearing assistance device. The device can have one or more accelerometers and a power control module to receive input data indicating a change in acceleration of the device over time from the one or more accelerometers in order to make a determination to autonomously change a power mode for the hearing assistance device based on at least whether the power control module senses movement of the hearing assistance device as indicated by the accelerometers.

Abstract: A device is discussed, such as the hearing assistance device itself and/or an electrical charger cooperating with the hearing assistance device. The device can have one or more accelerometers and a power control module to receive input data indicating a change in acceleration of the device over time from the one or more accelerometers in order to make a determination to autonomously change a power mode for the hearing assistance device based on at least whether the power control module senses movement of the hearing assistance device as indicated by the accelerometers.

Abstract: A device is discussed, such as the hearing assistance device itself and/or an electrical charger cooperating with the hearing assistance device. The device can have one or more accelerometers and a power control module to receive input data indicating a change in acceleration of the device over time from the one or more accelerometers in order to make a determination to autonomously change a power mode for the hearing assistance device based on at least whether the power control module senses movement of the hearing assistance device as indicated by the accelerometers.

Abstract: A smart-home device may include a recording device configured to record sound during a first time interval and a memory device comprising a plurality of stored sound profiles. The smart-home device may also include a processing system configured to receive an environmental input, select a stored sound profile from the plurality of stored sound profiles based on the environmental input, and perform a noise-cancelation routine on the sound recorded during the first time interval. The stored sound profile may be used as an initial background noise profile for the noise-cancelation routine.

Abstract: A method for customizing speech-recognition dictionaries for different smart-home environments may include generating, at a smart-home device mounted in an enclosure, an acoustic impulse response for the enclosure. The method may also include receiving, by the smart-home device, an audio signal captured in the enclosure. The method may additionally include performing, by the smart-home device, a speech-recognition process on the audio signal using a second speech dictionary generated by convolving the acoustic impulse response with a first speech dictionary.

Abstract: Embodiments of the present disclosure provide methods and systems for enabling remote alarm hushing with acoustic presence verification. Acoustic presence verification is used to assure that a device attempting to remotely deactivate an alarm is located within a certain distance of an alarming device before allowing the alarm to be hushed. Acoustic presence can be established through emission and monitoring of ultrasonic acoustic signals. The ultrasonic acoustic signals may be transmitted at a frequency that exceeds human hearing such as, for example, between 18 KHz and 22 kHz. Such ultrasonic signals have a relatively short range and are unable to penetrate walls and floors, thus providing an effective tool for ensuring that the device attempting to remotely hush an alarming device is within a line-of-sight of the alarming device.

Abstract: Embodiments of the present disclosure provide methods and systems for enabling remote alarm hushing with acoustic presence verification. Acoustic presence verification is used to assure that a device attempting to remotely deactivate an alarm is located within a certain distance of an alarming device before allowing the alarm to be hushed. Acoustic presence can be established through emission and monitoring of ultrasonic acoustic signals. The ultrasonic acoustic signals may be transmitted at a frequency that exceeds human hearing such as, for example, between 18 KHz and 22 kHz. Such ultrasonic signals have a relatively short range and are unable to penetrate walls and floors, thus providing an effective tool for ensuring that the device attempting to remotely hush an alarming device is within a line-of-sight of the alarming device.

Abstract: Embodiments of the present disclosure provide methods and systems for enabling remote alarm hushing with acoustic presence verification. Acoustic presence verification is used to assure that a device attempting to remotely deactivate an alarm is located within a certain distance of an alarming device before allowing the alarm to be hushed. Acoustic presence can be established through emission and monitoring of ultrasonic acoustic signals. The ultrasonic acoustic signals may be transmitted at a frequency that exceeds human hearing such as, for example, between 18 kHz and 22 kHz. Such ultrasonic signals have a relatively short range and are unable to penetrate walls and floors, thus providing an effective tool for ensuring that the device attempting to remotely hush an alarming device is within a line-of-sight of the alarming device.

Abstract: A smart-home device may include a recording device configured to record sound during a first time interval and a memory device comprising a plurality of stored sound profiles. The smart-home device may also include a processing system configured to receive an environmental input, select a stored sound profile from the plurality of stored sound profiles based on the environmental input, and perform a noise-cancelation routine on the sound recorded during the first time interval. The stored sound profile may be used as an initial background noise profile for the noise-cancelation routine.

Abstract: A method for customizing speech-recognition dictionaries for different smart-home environments may include generating, at a smart-home device mounted in an enclosure, an acoustic impulse response for the enclosure. The method may also include receiving, by the smart-home device, an audio signal captured in the enclosure. The method may additionally include performing, by the smart-home device, a speech-recognition process on the audio signal using a second speech dictionary generated by convolving the acoustic impulse response with a first speech dictionary.

Abstract: Systems, methods, and devices for noise profile determination for a voice-related feature of an electronic device are provided. In one example, an electronic device capable of such noise profile determination may include a microphone and data processing circuitry. When a voice-related feature of the electronic device is not in use, the microphone may obtain ambient sounds. The data processing circuitry may determine a noise profile based at least in part on the obtained ambient sounds. The noise profile may enable the data processing circuitry to at least partially filter other ambient sounds obtained when the voice-related feature of the electronic device is in use.

Abstract: Systems, methods, and devices for processing an audio signal with two or more channels into a monaural signal are provided. For example, an electronic device configured to perform such techniques may include audio signal processing circuitry, which may receive a first audio channel signal and a second audio channel signal. Based on these signals, the audio signal processing circuitry may output a monaural signal as a sum or a difference of the first and second audio channel signals, or as a combination thereof, depending at least in part on a phase relationship between the first and second audio channel signals. Additionally or alternatively, the audio signal processing circuitry may adjust a timing relationship between the first and second audio channel signals depending at least in part on the phase relationship, before combining a proportion of the first and second audio channel signals.

Abstract: Systems, methods, and devices for noise profile determination for a voice-related feature of an electronic device are provided. In one example, an electronic device capable of such noise profile determination may include a microphone and data processing circuitry. When a voice-related feature of the electronic device is not in use, the microphone may obtain ambient sounds. The data processing circuitry may determine a noise profile based at least in part on the obtained ambient sounds. The noise profile may enable the data processing circuitry to at least partially filter other ambient sounds obtained when the voice-related feature of the electronic device is in use.

Abstract: Systems, methods, and devices for processing an audio signal with two or more channels into a monaural signal are provided. For example, an electronic device configured to perform such techniques may include audio signal processing circuitry, which may receive a first audio channel signal and a second audio channel signal. Based on these signals, the audio signal processing circuitry may output a monaural signal as a sum or a difference of the first and second audio channel signals, or as a combination thereof, depending at least in part on a phase relationship between the first and second audio channel signals. Additionally or alternatively, the audio signal processing circuitry may adjust a timing relationship between the first and second audio channel signals depending at least in part on the phase relationship, before combining a proportion of the first and second audio channel signals.

Abstract: A method for providing voice feedback with playback of media on an electronic device is provided. In one embodiment, the method may include determining one or more characteristics of the media with which the voice feedback is associated. For instance, the media may include a song, and the determined characteristics could include one or more of genre, reverberation, pitch, balance, timbre, tempo, or the like. The method may also include processing the voice feedback to alter characteristics thereof based on the one or more determined characteristics of the associated media. Additional methods, devices, and manufactures are also disclosed.