A system that comprises an instrument microphone comprising a clip and a wireless transmitter is disclosed. The clip is constructed to couple the instrument microphone to a brass or woodwind instrument. The system comprises a headgear apparatus microphone comprising a wireless transmitter. The headgear apparatus microphone is constructed to coupled to a head of a vocalist. The system comprises a Bluetooth speaker.

Embodiments of systems and methods for adaptive sound equalization in personal hearing devices are disclosed. In some embodiments a microphone in a personal hearing device receives sound from the listener's environment. The sound then is analyzed to determine one or more desired targets, for instance loudness level or spectral balance. The determined targets then are used to control adaptive processing of the sound received by the microphone to generate a perceptually improved sound to render to the listener.

An audio system includes a speaker and a processor. The processor determines a privacy setting for an audio signal. The privacy setting may be selected by a user. The privacy setting may indicate activation of a private mode, or may indicate a privacy level from a range of privacy levels. The processor determines an audio filter that adjusts the audio signal to mitigate sound leakage when presented by the speaker based on the privacy setting. The audio filter may include a low-pass filter and a multiband compressor. The parameters of the audio filter may vary based on the privacy setting. The processor applies the audio filter to the audio signal to generate a filtered audio signal and provides the filtered audio signal to the speaker.

A signal processing method, especially for audio signals, comprises: receiving input signal samples having source signal portions associated with respective time periods (In_n−1); generating parameters associated with the respective time periods by processing the respective input signal samples, in which the step of generating the parameters has an associated non-zero latency period so that generating step provides a parameter p in a time period (T_n−1) later than the start of the respective time period; and generating an output data portion associated with a given time period (Out_n−1 using a signal processing function F which depends upon the input signal samples in the given time period (In_n−1) and an approximated parameter p′ (1110) associated with a time period other than the given time period (T_n−2).

Methods, systems, and computer program products that provide streaming capabilities to audio input and output devices are disclosed. An audio processing device connects an upstream device to a downstream device. The upstream device is plugged into an input port of the audio processing device. The audio processing device intercepts a signal from the upstream device to the downstream device. The audio processing device converts the signal to digital data and streams the digital data to a server. The digital data can include metadata, e.g., an input gain. The audio processing device can adjust the input gain in response to instructions from the server. The audio processing device feeds a pass-through copy of the audio signal to an output port. A user can connect the downstream device in a usual signal chain into the output port of the audio processing device. The streaming does not affect the user's workflow.

A method for changing an image file based on a toning coefficient includes receiving an image file including an image having a plurality of pixels. Toning characteristic function is determined for each pixel of the received image. Distribution of the plurality of pixels of the received image is analyzed using the toning characteristic function. The toning coefficient of the received image is determined based on the analyzed distribution of the plurality of pixels. A degree of toning of the received image file is changed using a user specified criteria based on the determined toning coefficient.

A method for changing an image file based on a toning coefficient includes receiving an image file including an image having a plurality of pixels. Toning characteristic function is determined for each pixel of the received image. Distribution of the plurality of pixels of the received image is analyzed using the toning characteristic function. The toning coefficient of the received image is determined based on the analyzed distribution of the plurality of pixels. A degree of toning of the received image file is changed using a user specified criteria based on the determined toning coefficient.

Certain embodiments provide methods and systems for managing a sound profile. An example playback device includes a network interface and a non-transitory computer readable storage medium having stored therein instructions executable by the processor. When executed by the processor, the instructions are to configure the playback device to receive, via the network interface over a local area network (LAN) from a controller device, an instruction. The example playback device is to obtain, based on the instruction, via the network interface from a location outside of the LAN, data comprising a sound profile. The example playback device is to update one or more parameters at the playback device based on the sound profile. The example playback device is to play back an audio signal according to the sound profile.

Example techniques involve a calibration state variable. An example implementation receives, via a network interface, an indication that the first playback device is calibrated. Based on receiving the indication that the first playback device is calibrated, the example implementation updates a calibration state variable to indicate that the first playback device is calibrated, wherein the calibration state variable is stored in the data storage. The example implementation sends, via the network interface, an indication of the updated calibration state variable to a second device.

Example techniques facilitate calibration of a playback device. An example implementation involves a computing device capturing, via a microphone, data representing multiple iterations of a calibration sound as played by a playback device. The computing device identifies multiple sections within the captured data. Two or more sections represent respective iterations of the calibration sound as played by the playback device. Based on the multiple identified sections, the computing device determines a frequency response of the playback device, the frequency response of the playback device representing audio output by the playback device and acoustic characteristics of an environment around the playback device. Based on the frequency response of the playback device and a target frequency response, the computing device determines one or more parameters of an audio processing algorithm and sends, to the playback device, the one or more parameters of the audio processing algorithm.