Active noise cancellation method is provided, including: when the headset is in an ANC working mode, obtaining a first group of filtering parameters, and performing noise cancellation by using the first group of filtering parameters. The first group of filtering parameters is one of N.sub.1 groups of filtering parameters prestored in the headset. The N.sub.1 groups of filtering parameters are respectively used to perform noise cancellation on ambient sound in N.sub.1 leakage states. The N.sub.1 leakage states are formed by the headset and N.sub.1 different ear canal environments. In a current wearing state of the headset, for same ambient noise, noise cancellation effect obtained when the first group of filtering parameters is applied to the headset is better than noise cancellation effect obtained when another filtering parameter in the N.sub.1 groups of filtering parameters is applied to the headset. N.sub.1 is a positive integer greater than or equal to 2.

An audio enhanced hearing protection system to be worn by a user includes an ambient noise reduction assembly having a primary noise reduction unit and a secondary noise reduction unit. The audio enhanced hearing protection system also includes an audio input assembly having one or more environmental microphones to receive raw environmental audio signals. The raw audio signals are transformed into processed audio signals via a digital signal processing assembly prior to transmission to a user. The audio enhanced hearing protection system also includes an audio output assembly having at least one speaker to transmit processed audio signals to a user.

Processes, methods, systems, and devices are disclosed for synchronizing multiple wireless data streams captured in action by various sensors, with lost data recovery. For example, a source device may have multiple sensors acquiring data and sending the data streams (e.g., via Bluetooth connections) to a target device. Timing information may be appended for each of the data streams. Data packets of the multiple data streams may be formed with the timing information. The data packets may be transmitted to a target device that is configured to synchronize the multiple data streams using the timing information. The target device, applying the example processes or techniques of this disclosure, may accurately synchronize the multiple data streams. In some cases, the target device may capture additional data streams and the processor synchronizes all data streams of both the source and the target devices.

In an active noise reducing headphone, a signal processor applies filters and control gains of both the feed-forward and feedback active noise cancellation signal paths. The signal processor is configured to apply first feed-forward filters to the feed-forward signal path and apply first feedback filters to the feedback signal path during a first operating mode providing effective cancellation of ambient sound, and to apply second feed-forward filters to the feed-forward signal path during a second operating mode providing active hear-through of ambient sounds with ambient naturalness.

The present invention discloses an open-ear hook-type wearable sound producing device, including a main body and an ear hook connected to the main body, wherein at least one speaker and at least one microphone are arranged in the main body; one side, facing a human ear, of the main body is provided with a forward vent; a distance between the orifice of the forward vent and an ear canal entrance point (EEP) is 0.1 to 50 mm; and a distance between a pickup end of the at least one microphone and the EEP is 0.5 to 10 mm. The structure and layout of the present invention are rational, which is helpful to improve noise cancellation performance and is suitable to wear for long listening sessions.

A method for generating an active noise reduction filter includes: obtaining a physically noise-reduced signal, the physically noise-reduced signal being a signal received by a feedback microphone after a noise signal passes through an earphone, obtaining a mixed signal, the mixed signal being a signal received by the feedback microphone when the same noise signal is played and the earphone plays a through signal in a through state, calculating an input signal according to the mixed signal and the physically noise-reduced signal, performing adaptive filtering on the input signal and the physically noise-reduced signal according to an adaptive filtering algorithm to obtain a transfer function, and generating an active noise reduction filter according to the transfer function.

An automatic diagnostic apparatus and corresponding method is disclosed for recognizing heart sounds of interest, i.e., murmurs, detected in streaming audio data picked up by a stethoscope. Sensors included in the device capture audio data in real time during an auscultation exam performed by a physician. A feature vector that models the stream of audio data is created and supplied to a deep neural network stored on the diagnostic device. The deep neural network generates a probability for each of the heart sounds of interest. When the probability of detection exceeds a pre-established threshold value the device alerts the physician through visual and/or audio cues, enhancing the physician's diagnostic capability during routine examination.

Various aspects include electronic devices with connection-enhancing, electrostatic discharge (ESD) protection features. In some examples, an electronic device includes: a housing; and a detent spring internal to the housing, where the detent spring (i) is positioned to contact a feature that is at least partially external to the housing and (ii) functions as an electrostatic discharge (ESD) sink.

Technologies are provided for remote neuropsychological assessments and other types of remote assessments (medical or otherwise).

A method and an apparatus for enabling adaptive audio signal alteration are described. When an input audio signal is received, a determination of whether the user of an audio device hears the input audio signal is performed based upon brain activity of the user. A determination of whether the user is distracted by the audio signal is performed based upon sensor measurements indicating a physical state of the user. In response to determining that the user hears the input audio signal and that the input audio signal causes the user to be distracted, a determination of configuration parameter(s) is performed. An alteration of audio signal(s) is caused based upon the configuration parameter(s) to obtain modified version(s) of the audio signal(s) that are intended to address the distraction caused by the input audio signal, and output audio signals are output, where the output audio signals include the modified versions.