Embodiments of the present disclosure are directed to systems and methods for improving functional hearing. In one aspect, the system may include a housing configured to fit within an ear of a user. The housing may include a speaker, an amplifier, a transmitter, and a power supply. Additionally, the housing may include a memory storing instructions and at least one processor configured to execute instructions. The instructions may include receiving an audio input and amplifying the audio input. The instructions may include outputting the amplified audio input from a speaker. The instructions may include converting the audio input into a visual representation of the audio input and transmitting the visual representation to at least one display.

Some demonstrative embodiments include apparatuses, systems and/or methods of testing an acoustic device, an acoustic component, and/or a device or system including one or more acoustic devices. For example, an acoustic device tester may be configured to process input acoustic information of a tested acoustic device to determine a tested acoustic value distribution for the tested acoustic device in a plurality of frequency sub-bands; determine whether or not the tested acoustic device meets a predefined testing criterion based on the tested acoustic value distribution and a reference profile defining a plurality of reference values corresponding to the plurality of frequency sub-bands, respectively; and generate an output to indicate whether or not the tested acoustic device meets the predefined testing criterion.

In one implementation, a method of playing audio is performed at a device including one or more processors coupled to non-transitory memory. The method includes playing audio associated with an object at a frequency-dependent volume based on a distance between a user location and an object location, an object orientation with respect to the user location, and the frequency-dependent three-dimensional audio emission pattern. In various implementations, methods of visualizing the frequency-dependent three-dimensional audio emission pattern and changing properties thereof are disclosed.

A method includes determining one or more audio characteristics of a first digital signal representing a first portion of streaming media content provided by a media playback application to an audio output component; playing the first portion of the media content into an environment; capturing, by an audio output component, a second digital signal representing the first portion of the media content as played; determining, based on the captured second digital signal, one or more detected audio characteristics of the media content as played into the environment; determining a difference between the one or more audio characteristics of the media content and the one or more detected audio characteristics; calibrating a second portion of the media content based on the difference and based on a determination that the second portion is to be calibrated; and playing, by the audio output component into the environment, the second portion as calibrated.

A fitting agent for a hearing device and related method is disclosed, wherein the fitting agent is configured to initialize a user model comprising a user preference function; obtain a primary test setting for the hearing device; obtain a secondary test setting for the hearing device; present the primary test setting and the secondary test setting to a user; detect a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting, wherein to obtain the secondary test setting comprises: obtain a candidate set of candidate test settings; determine an uncertainty parameter for each candidate test setting; and select the secondary test setting from the candidate set of candidate test settings based on the uncertainty parameters of the candidate test settings.

An IoT Smart Sound Level Meter that is connected through the internet via ethernet cable, wifi or cellular network. The IoT Smart Sound Level Meter measures and monitors sound pressure levels. Sound pressure levels are measured in decibels. The sound pressure level data that is sent via the internet through ethernet, wifi or cellular network to cloud servers where the data is stored and saved. The cloud servers are connected to Application Programming Interfaces (API) connected to web-based software that converts the sound pressure level data into decibel measurements. These measurements are displayed to the end-user through the web-based software and/or application providing real-time decibel level measurements and historic sound pressure level recordings. The web-based software and/or application provides access to view decibel measurement data remotely from a computer, laptop, tablet, smart watch, or mobile device.

Example techniques involve calibration of one or more playback devices. An example implementation involves a playback device playing back audio content using a first calibration via the one or more audio transducers and the one or more amplifiers. The first calibration is based on a response of a listening environment to audio content playback by the playback device. The playback device records, via one or more microphones, at least a portion of the played back audio content. Based on the recorded audio content, the playback device detects a change in the response of the listening environment to audio content playback by the playback device. Responsive to detecting the change in the response, the playback device causes output of a prompt to initiate a calibration procedure for the playback device. The calibration procedure involves a mobile device recording playback by the playback device.

A monitoring system can include an earpiece, a database with stored earpiece characteristics data, and a microphone to receive a plurality of signals where each signal of the plurality of signals can represents a respective sound pressure level of sound pressure values over a time duration. The system can also include a processor and a memory coupled processor, the memory having computer instructions which when executed by the processor causes the processor to perform the operations. The operations can include determining exposure time duration when a signal of the plurality of signals exceeds a sound pressure level threshold value, retrieving a subset of data of the stored earpiece characteristics data, and modifying an acoustic output of the earpiece in accordance with the subset of data of the stored earpiece characteristics data.

Example techniques relate to playback based on acoustic signals in a system including a first network device and a second network device. A first network device may detect a presence of a user using a camera and/or infrared sensors. The first network device sends, in response to detecting the presence of the user, a particular signal via the first network interface. The second network device receives data corresponding to the particular signal and plays back an audio output corresponding to the particular signal.

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.