Trained machine learning models can be used for analysis of signals obtained through an in-ear or on-body device. Signals can be analyzed to determine information related to activities such as eating, chewing, drinking, coughing, or sneezing. In addition, data from an in-ear thermometer or other data sensors can be analyzed in conjunction with the machine learning models to provide data or recommendations to a user on a user device or initiate an action.

A method for rejecting inherent noise of a microphone arrangement that includes a first microphone and a second microphone. The first microphone generates a first microphone signal from an ambient sound signal and the second microphone generates a second microphone signal from the ambient sound signal. A measure of correlation between the first microphone signal and the second microphone signal is ascertained, and inherent noise of the first microphone and/or of the second microphone in the first or second microphone signal is rejected on the basis of the measure of correlation.

An example operation includes one or more of receiving, via a transport, a transport audio, classifying, via the transport, a subset of the transport audio as an atypical transport audio, determining, via the transport, a possible source location of the atypical transport audio, transmitting, via the transport, the atypical transport audio and the possible source location to a server, determining, via the server, a set of potential causes of the atypical transport audio and receiving, via the transport, the set of potential causes of the atypical transport audio.

Disclosed is an electronic device which includes an audio processing block for voice recognition in a low-power mode. The electronic device includes a digital microphone that receives a voice signal from a user and converts the received voice signal into a PDM signal, and a DMIC interface circuit. The DMIC interface circuit includes a PDM-PCM converting block that converts the PDM signal into a PCM signal, a maxscale gain tuning block that tunes a maxscale gain of the PCM signal received from the PDM-PCM converting block based on a distance information indicating a physical distance between the user and the electronic device acquired in advance of the converting of the PDM signal, and an anti-aliasing block that performs filtering for acquiring voice data of a target frequency band associated with a PCM signal output from the maxscale gain tuning block.

An audio transducer device includes an audio transducer, a controller and a direction adjusting mechanism. The audio transducer has a sound receiving surface formed with multiple sound collecting holes, and multiple microphones corresponding in position to the sound collecting holes. The controller is detachably mounted to an electronic device, and controls the microphones to cooperatively perform directional sound reception to obtain audio data. The direction adjusting mechanism interconnects an audio transducer shell and the controller such that the sound receiving surface can be rotated to a position where a normal direction thereof and an image capturing direction of the electronic device forming a desired angle therebetween.

An active noise reduction earbud and method. The earbud includes a housing comprising an outlet portion that defines a sound outlet, wherein the outlet portion is configured to be located in or proximate the external auditory meatus of a user's ear, a first feedforward microphone configured to develop a first input signal, and a first sound inlet opening in the housing and configured to conduct external sound to be sensed by the first feedforward microphone, wherein the first sound inlet opening is proximate the outlet portion.

A target tracking system and method of operation can include: generating data based on a detection of a shock wave of a bullet by target microphones, the target microphones including an offset target microphone; wirelessly transmitting the data with a target transceiver communicatively connected to the target microphones; determining a bullet speed at the target microphones based on the shock wave detected by the offset target microphone with a processor; and determining a shot placement of the bullet relative to the target microphones with the processor, the processor communicatively connected to the target transceiver.

The disclosure relates to a method for recognizing at least one naturally emitted sound produced by a real-life sound source in an environment comprising at least one artificial sound source. The method is implemented by an audio recognition device, and it includes simultaneously obtaining a first audio signal from a first microphone located in the environment and a second audio signal from an audio acquisition device associated with the at least one artificial sound source; analyzing the first audio signal, delivering a first list of sound classes corresponding to sounds recognized in the first audio signal; analyzing the second audio signal, delivering a second list of sound classes corresponding to sounds recognized in the second audio signal; and delivering a third list of sound classes, comprising only sound classes included in the first list of sound classes which are not included in the second list of sound classes.

An audio playing apparatus, an audio playing method, and an electronic device are provided. The audio playing apparatus includes: a power amplifier module; a switch, where an input end of the switch is connected to the power amplifier module; a first noise suppression component and a second noise suppression component, where the first noise suppression component is connected to a first output end of the switch, and the second noise suppression component is connected to a second output end of the switch; and a speaker module, connected to the first noise suppression component and the second noise suppression component. In a case that the speaker module is separately in a receiver mode and a speaker mode, the input end of the switch is separately connected to the first output end and the second output end of the switch.

Some implementations involve receiving a content stream that includes audio data, determining a content type corresponding to the content stream and determining, based at least in part on the Receiving, by a control system and via an interface system, a content stream that includes audio data content type, a noise compensation method. Some examples involve performing the noise compensation method on the audio data to produce noise-compensated audio data, rendering the noise-compensated audio data for reproduction via a set of audio reproduction transducers of the audio environment, to produce rendered audio signals, and providing the rendered audio signals to at least some audio reproduction transducers of the audio environment.