Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force (“EMF”) of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: The present disclosure provides systems and methods for using a linear resonant actuator (“LRA”) to determine a type of contact between a device and its surroundings. The LRA may be coupled to an amplifier by one or more switches. The audio amplifier may receive a signal from a microcontroller and transmit the signal the LRA when the switches are closed. When the switches are in an open position, the LRA may be actively sensing for the type of contact. The back EMF may be measured when the switches are open. The measured back EMF waveform may be used to determine the type of contact. When the signal is not being transmitted, the LRA may be passively sensing to determine whether the device was tapped.

Abstract: A wearable device can include a wearable band configured to contact a user of the wearable device, an actuator, a sensor, and one or more processors in communication with the actuator and the sensor. The processors can be configured to measure a back electromotive force (“EMF”) of the actuator; determine, based on the measured back EMF, data that describes a contact force between the wearable band and the user; and determine, based on the data that describes the contact force, a quality metric describing a data quality of sensor data collected by the sensor. In some embodiments, the processor(s) can determine, generate sensor output data based on the sensor data and based at least in part on the data describing the contact force between the wearable band and the user. For example, one or more machine-learned models maybe leveraged to generate sensor output data that is compensated for the wearable band being too tight or too loose.

Abstract: The present disclosure provides systems and methods for using a linear resonant actuator (“LRA”) to determine a type of contact between a device and its surroundings. The LRA may be coupled to an amplifier by one or more switches. The audio amplifier may receive a signal from a microcontroller and transmit the signal the LRA when the switches are closed. When the switches are in an open position, the LRA may be actively sensing for the type of contact. The back EMF may be measured when the switches are open. The measured back EMF waveform may be used to determine the type of contact. When the signal is not being transmitted, the LRA may be passively sensing to determine whether the device was tapped.

Abstract: The present disclosure provides systems and methods for using a linear resonant actuator (“LRA”) to determine a type of contact between a device and its surroundings. The LRA may be coupled to an amplifier by one or more switches. The audio amplifier may receive a signal from a microcontroller and transmit the signal the LRA when the switches are closed. When the switches are in an open position, the LRA may be actively sensing for the type of contact. The back EMF may be measured when the switches are open. The measured back EMF waveform may be used to determine the type of contact. When the signal is not being transmitted, the LRA may be passively sensing to determine whether the device was tapped.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: Systems and techniques for removing a sound recording from an audio recording (e.g., an audio recording embedded in a media file) are presented. The system can include an identification component, a first subtraction component and a second subtraction component. The identification component identifies a sound recording in a mixed audio recording. The first subtraction component determines a local linear transformation of the sound recording and subtracts the local linear transformation of the sound recording from the mixed audio recording to generate a new mixed audio recording. The second subtraction component compares one or more segments of the sound recording with one or more corresponding segments of the new mixed audio recording and reduces a power level of the new mixed audio recording based at least in part on correlation of the one or more corresponding segments with the one or more segments.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: The present invention relates to the field of panoramic still and motion photography. In a first embodiment, a camera apparatus for panoramic photography includes a first image sensor positioned to capture a first image. The first image sensor has a rolling-shutter readout arranged in portrait orientation. The camera apparatus also includes second image sensor positioned to capture a second image. The second image sensor has a rolling-shutter readout arranged in portrait orientation. Finally, the camera apparatus includes a controller configured to signal the second image sensor to start capturing the second image before the first image sensor finishes capturing the first image. At least a portion of the first image is in front of the second image relative to a forward direction of the camera apparatus.

Abstract: A method includes providing, for each respective audio channel of a plurality of audio channels provided by an operating system of a computing device, a set of successive audio processing stages to apply to the respective audio channel. The method also includes providing, by the operating system, an application programming interface (API) configured to set a plurality of parameters for adjusting the set of successive audio processing stages for each respective audio channel. The method additionally includes receiving, via the API and from an application running on the computing device, one or more values for one or more parameters of the plurality of parameters. The method further includes adjusting, by the operating system, the plurality of audio channels based on the received one or more values for the one or more parameters.

Abstract: The present invention relates to the field of panoramic still and motion photography. In a first embodiment, a camera apparatus for panoramic photography includes a first image sensor positioned to capture a first image. The first image sensor has a rolling-shutter readout arranged in portrait orientation. The camera apparatus also includes second image sensor positioned to capture a second image. The second image sensor has a rolling-shutter readout arranged in portrait orientation. Finally, the camera apparatus includes a controller configured to signal the second image sensor to start capturing the second image before the first image sensor finishes capturing the first image. At least a portion of the first image is in front of the second image relative to a forward direction of the camera apparatus.

Abstract: The present invention relates to the field of panoramic still and motion photography. In a first embodiment, a camera apparatus for panoramic photography includes a first image sensor positioned to capture a first image. The first image sensor has a rolling-shutter readout arranged in portrait orientation. The camera apparatus also includes second image sensor positioned to capture a second image. The second image sensor has a rolling-shutter readout arranged in portrait orientation. Finally, the camera apparatus includes a controller configured to signal the second image sensor to start capturing the second image before the first image sensor finishes capturing the first image. At least a portion of the first image is in front of the second image relative to a forward direction of the camera apparatus.

Abstract: The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: transmit a wakeup signal to a plurality of devices based on coarse grain location information; send a request to a first device of the plurality of devices to transmit a token using a first communication technology to determine fine grain copresence; receive a first token acknowledgment from a first subset of the plurality of devices; send a request to a second device of the first subset of the plurality of devices to transmit the token using a second communication technology to determine fine grain copresence; receive a second token acknowledgment from a second subset of the plurality of devices; and refine copresence based on receiving the first and second token acknowledgment.

Abstract: Systems and methods are provided herein relating to audio matching. Interest points that are onsets are generally very efficient in audio matching in that they are robust to multiple types of distortion. Prominent onsets can be detected within an audio signal excerpt as interest points and combined as a function of a set of interest points to form a descriptor. Descriptors associated with an audio signal excerpt that contain a set of prominent onsets as interest points can be used in matching the audio signal excerpt to an audio reference. The benefits in generating and using prominent onsets within descriptors improve the accuracy of an audio matching system.

Abstract: Systems and methods facilitating removal of content from audio files are described. A method includes identifying a sound recording in a first audio file, identifying a reference file having at least a defined level of similarity to the sound recording, and processing the first audio file to remove the sound recording and generate a second audio file. In some embodiments, winner-take-all coding and Hough transforms are employed for determining alignment and rate adjustment of the reference file in the first audio file. After alignment, the reference file is filtered in the frequency domain to increase similarity between the reference file and the sound recording. The frequency domain representation (FR) of the filtered version is subtracted from the FR first audio and the result converted to a time representation of the second audio file. In some embodiments, spectral subtraction is also performed to generate a further improved second audio file.

Abstract: Implementations generally relate to providing data transmission between devices over audible sound. In some implementations, a method includes mapping each symbol of data to a frequency combination, where each frequency combination includes one or more frequencies. The method further includes generating a sine wave for each frequency. The method further includes adding sine waves for a given symbol to obtain a resulting sine wave. The method further includes applying a window function to the resulting sine wave to obtain a data signal.