Techniques for adaptive cross-correlation are discussed. A first signal is received from a first audio sensor associated with a vehicle and a second signal is received from a second audio sensor associated with the vehicle. Techniques may include determining, based at least in part on the first signal, a first transformed signal in a frequency domain. Additionally, the techniques include determining, based at least in part on the second signal, a second transformed signal in the frequency domain. A parameter can be determined based at least in part on a characteristic associated with at least one of the vehicle, an environment proximate the vehicle, or one or more of the first or second signal. Cross-correlation data can be determined based at least in part on one or more of the first transformed signal, the second transformed signal, or the parameter.

Technologies are generally described for a method for measuring a quality of an audio signal in a mobile device. In some examples, the mobile device includes a receiving unit configured to receive an audio signal transmitted from another device; an audio quality measuring unit configured to measure a quality of the received audio signal; and a transmission unit configured to transmit the measured quality of the audio signal to the another device.

A computer-implemented method comprises obtaining a physical location of a sensor on a device; determining that quality of data captured by the sensor physically located on the device is degraded based on a comparison of the captured data to a quality threshold; and, in response to determining that the quality of the data captured by the sensor is degraded, displaying a visual indicator on a display of the device. The visual indicator includes at least one non-textual component that directs a user to the physical location of the sensor on the device.

Systems, methods, devices, non-transitory computer-readable mediums, and apparatuses are presented for detecting and positioning sound in a home automation system. Indications of sounds and timestamps may be received from various home automation devices. Using the received indications, a sound magnitude for the sound and whether the sound originated inside or outside of the structure can be determined. The sound magnitude may be compared to an inside sound threshold level if the sound was determined to originate inside the structure or compared to an outside sound threshold level if the sound was determined to originate outside the structure. Sound information corresponding to the sound may be logged if the sound was determined to originate inside and the sound magnitude exceeds the inside sound threshold level or the sound was determined to originate outside and the sound magnitude exceeds the outside sound threshold level.

A sound signal processing apparatus and system includes a control device having a processor and a memory storing instructions that causes the processor to acquire a plurality of sound signals representing sounds recorded at a plurality of positions in a sound space, respectively, and correlate the plurality of sound signals with a plurality of pieces of position information indicating the recording positions, respectively. Sound signals, from among the acquired plurality of signals correlated with the plurality of pieces of position information, are selected as a mixing target. The selected sound signals are mixed to be synchronized with each other.

A diagnostic apparatus includes a first acquiring unit that acquires sound information, a second acquiring unit that acquires operation information indicating a component in operation among a plurality of components of an analysis target apparatus, and a display unit that, when the acquired sound information is reproduced, displays operating states of the plurality of components at the time point when the reproduced sound is acquired, using the operation information.

A device including: first and second input units providing first and second input signals of first and second audio tracks, a decomposition unit to decompose the first input audio signal to obtain decomposed signals, a playback unit to start playback of a first output signal obtained from recombining at least first and second decomposed signals at first and second volume levels, respectively, and a transition unit for performing a transition between playback of the first output signal and playback of a second output signal obtained from the second input signal. The transition unit is adapted for reducing the first/second volume levels according to first/second transition functions. The device includes an analyzing unit to analyze an audio signal to determine a song part junction between two song parts. The transition time interval of at least one of the transition functions is set such as to include the song part junction.

An example method includes controlling an audio source to generate a test tone, controlling a plurality of audio sensors to sense the test tone simultaneously, receiving an output signal from each audio sensor, and determining an acoustic characteristic of each audio sensor based at least in part on the received output signals. The method also includes determining a difference between the acoustic characteristic and a corresponding reference value, identifying at least one audio sensor for which a difference corresponding to the at least one audio sensor is within a predetermined range of the reference value, and generating a compensation factor of the at least one audio sensor based at least in part on the respective output signal of the at least one audio sensor.

In one embodiment, a pickup system includes a wind detector and a wind suppressor. The wind detector has a plurality of analyzers each configured to analyze first and second input signals, and a combiner configured to combine outputs of the plurality of analyzers and issue, based on the combined outputs, a wind level indication signal indicative of wind activity. The analyzers can be selected from a group of analyzers including a spectral slope analyzer, a ratio analyzer, a coherence analyzer, a phase variance analyzer and the like. The wind suppressor has a ratio calculator configured to generate a ratio of the first and second input signals, and a mixer configured to select one of the first or second input signals and to apply to the selected input signal one of first or second panning coefficients based on the wind level indication signal and on the ratio.

Disclosed are examples of systems, apparatus, methods and computer-readable storage media for dynamically adjusting thresholds of a compressor. An input audio signal having a number of frequency band components is processed. Time-varying thresholds can be determined. A compressor performs, on each frequency band component, a compression operation having a corresponding time-varying threshold to produce gains. Each gain is applied to a delayed corresponding frequency band component to produce processed band components, which are summed to produce an output signal. In some implementations, a time-varying estimate of a perceived spectrum of the output signal and a time-varying estimate of a distortion spectrum induced by the perceived spectrum estimate are determined, for example, using a distortion audibility model. An audibility measure of the distortion spectrum estimate in the presence of the perceived spectrum estimate can be predicted and used to adjust the time-varying thresholds.