Examples disclosed herein relate to playback device calibration. A calibration state variable may represent a calibration state of a playback device. A control device may display an indications of the calibration state. For instance, in a first instance, the control device may display an indication that a first playback device is in an uncalibrated state. Further, in a second instance, the control device may display an indication that the first playback device is in an calibrated state, perhaps after instructing the first playback device to initiate calibration.

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.

A processor-based method of reducing loudspeaker-induced harmonic distortion in sound generated by a loudspeaker responsive to a first audio signal, the method including: attenuating a first band in the first audio signal by an attenuation gain, the first band including a fundamental frequency, wherein the attenuating dynamically adjusts the attenuation gain in accordance with, at least, a ratio between: i) an energy of the first band in the first audio signal; and ii) an energy of a second band in the first audio signal, the second band including one or more frequencies that is an integer multiple of the fundamental frequency.

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.

Examples disclosed herein relate to playback device calibration. A calibration state variable may represent a calibration state of a playback device. A control device may display an indications of the calibration state. For instance, in a first instance, the control device may display an indication that a first playback device is in an uncalibrated state. Further, in a second instance, the control device may display an indication that the first playback device is in an calibrated state, perhaps after instructing the first playback device to initiate calibration.

Examples disclosed herein relate to playback device calibration. A calibration state variable may represent a calibration state of a playback device. A control device may display an indications of the calibration state. For instance, in a first instance, the control device may display an indication that a first playback device is in an uncalibrated state. Further, in a second instance, the control device may display an indication that the first playback device is in an calibrated state, perhaps after instructing the first playback device to initiate calibration.

Embodiments described herein provide for smart configuration of audio settings for a playback device. According to an embodiment, while a playback device is a part of a first zone group that includes the playback device and at least one first playback device, the playback device applies a first audio setting. The embodiment also includes the playback device joining a second zone group that includes the playback device and at least one second playback device. The embodiment further includes the playback device applying a second audio setting based on an audio content profile corresponding to the second zone group.

A method of enhancing dialog intelligibility in an audio signal, comprising determining a speech confidence score that the audio content includes speech content, determining a music confidence score that the audio content includes music correlated content, in response to the speech confidence score, and applying a user selected gain of selected frequency bands of the audio signal to obtain a dialogue enhanced audio signal. The user selected gain is smoothed by an adaptive smoothing algorithm, an impact of past frames in said smoothing algorithm being determined by a smoothing factor, the smoothing factor being calculated in response to the music confidence score, and having a relatively higher value for content having a relatively higher music confidence score and a relatively lower value for speech content having a relatively lower music confidence score, so as to increase the impact of past frames on the dialogue enhancement of music correlated content.

According to one embodiment, in a semiconductor integrated circuit, the second circuit samples an amplitude of the output second signal at a plurality of timings every given cycle in a period corresponding to a second period of the pattern. The second circuit controls a parameter relating to the frequency characteristic for the first circuit according to a first magnitude relation and a second magnitude relation. The first magnitude relation is a relation between an absolute value of a first amplitude and a first threshold. The first amplitude is an amplitude sampled at a first timing among the plurality of timings. The second magnitude relation is a relation between an absolute value of a second amplitude and the first threshold. The second amplitude is an amplitude sampled at a second timing. The second timing is a timing after the first timing among the plurality of timings.

A ribbon microphone assembly may include a ribbon capsule assembly, an amplifier connected to the capsule assembly, an analog-to-digital converter connected to the amplifier, a digital signal processor connected to the analog-to-digital converter to compensate for an on-axis frequency response caused by a directional polar response of the ribbon microphone assembly, and a USB output port.