A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined through computer vision according to the spectrogram.

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.

Various implementations include methods and related systems for controlling the audio output in a vehicle cabin. In one implementation, a method includes: receiving a first input indicative of a first audio output at a first location in the vehicle cabin; displaying a range of outputs available to a user in a second location in the vehicle cabin; receiving a second input indicative of a second audio output within the range of outputs at the second location; and outputting the first audio output and the second audio output in the vehicle cabin.

Disclosed herein are methods and systems for appliances, including networked or “Internet-of-Things” appliances.

The system comprises: a remote control station; a plurality of detection devices for the detection of noise which are located inside an area to be monitored; a master device adapted to receive noise level data from the detection devices and adapted to send the data to the remote control station, the master device being provided with a client communication module configured to communicate with the remote control station and with an access point communication module configured to communicate with one of the detection devices; wherein each of the detection devices is provided with a client communication module configured to communicate with the access point communication module of the master device, the detection devices and the master device being located in predetermined positions and in a substantially homogeneous manner inside said area for the detection of noise level data which are certifiable and homogeneous both in terms of spatial distribution and in terms of time distribution.

Acoustic imaging systems can include an acoustic sensing array, an electromagnetic imaging tool, a display, and an audio device. A processor can receive data from the acoustic sensor array and the electromagnetic imaging tool to generate a display image combining acoustic image data and electromagnetic image data. Systems can include an audio device that receives an audio output from the processor and outputs audio feedback signals to a user. The audio feedback signals can represent acoustic signals from an acoustic scene. Systems can provide a display image to a user including acoustic image data, and a user can select an acoustic signal for which to provide a corresponding audio output to an audio device. Audio outputs and display images can change dynamically in response to a change in pointing of the acoustic sensing array, such as by changing a stereo audio output.

A system, device and method for assessing a fit quality of an earpiece while in use in a noisy environment. The earpiece having an external microphone for capturing an outer-ear audio signal and an internal microphone for capturing an inner-ear audio signal. The fit quality being assessed by estimating a filter according to the captured inner-ear and outer-ear audio signals, and determining a fit quality according to identified coefficients of the estimated filter. A system, device and method for assessing a seal quality of an earpiece while in use in a quiet environment. The earpiece having a loudspeaker for emitting a sound stimulus towards the ear canal and an internal microphone for capturing an audio signal inside the ear canal. The seal quality being assessed by estimating a transfer function according the emitted and captured sound stimulus, and determining at least one seal-quality indicator according to a signal magnitude of the transfer function.

An audio-video correspondence system performs a correspondence analysis between audio and video content. The system obtains video content that includes audio content, the video content comprising a plurality of frames. The system identifies a first set of pixels within the video content associated with changes in pixel values over a first set of frames of the video content. The system subsequently identifies, from the audio content, first audio associated with the first set of frames corresponding to changes in pixel values of the first set of pixels. The system finally assigns the first audio over the first set of frames to the first set of pixels.

The described technology is generally directed towards providing a visible waveform representation of an audio signal, by processing the audio signal with a polynomial (e.g., cubic) mapping function. Coefficients of the polynomial mapping function are predetermined based on constraints (e.g., slope information and desired range of the resultant curve), and whether the plotted audio waveform corresponds to sound field quantities or power quantities. Once the visible representation of the reshaped audio waveform is displayed, audio and/or video editing operations can be performed, e.g., by time-aligning other audio or video with the reshaped audio waveform, and/or modifying the reshaped audio waveform to change the underlying audio data.

The present disclosure generally relates to user interfaces and techniques for managing audio exposure using a computer system (e.g., an electronic device). In accordance with some embodiments, the electronic device displays a graphical indication of a noise exposure level over a first period of time with an area of the graphical indication that is colored to represent the noise exposure level, the color of the area transitioning from a first color to a second color when the noise exposure level exceeds a first threshold. In accordance with some embodiments, the electronic device displays noise exposure levels attributable to a first output device type and a second output device type and, in response to selecting a filtering affordance, visually distinguishes a set of noise exposure levels attributable to the second output device type.