A personalized sound management system for an acoustic space includes at least one transducer, a data communication system, one or more processors operatively coupled to the data communication system and the at least one transducer, and a medium coupled to the one or more processors. The processors access a database of sonic signatures and display a plurality of personalized sound management applications that perform at least one or more tasks among identifying a sonic signature, calculating a sound pressure level, storing metadata related to a sonic signature, monitoring sound pressure level dosage levels, switching to an ear canal microphone in a noisy environment, recording a user's voice, storing the user's voice in a memory of an earpiece device, or storing the user's voice in a memory of a server system, or converting received text received in texts or emails to voice using text to speech conversion. Other embodiments are disclosed.

Disclosed herein, among other things, are apparatus and methods for neural network-driven feedback cancellation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device to mitigate entrainment, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained neural network to control acoustic feedback cancellation of the input signal.

A method performed by a hearing device comprising a first housing, a microphone, a speaker, and a first control system configured to control an active vent, the active vent comprising a vent canal and a valve member configured to block the vent canal when the active vent is in the closed state, and to allow passage of air through the vent canal when the active vent is in the open state, comprising: emitting an acoustic signal from the speaker; measuring a first transfer function of an acoustic feedback path between the speaker and the microphone when the active vent is expected to be in the open state; measuring a second transfer function of the acoustic feedback path when the active vent is expected to be in the closed state; and determining a status of the active vent based at least on the first and second measured transfer functions.

Disclosed herein, among other things, are methods and apparatus for own-voice sensing in hearing assistance devices. One aspect of the present subject matter includes an in-the-ear (ITE) hearing assistance device adapted to process sounds, including sounds from a wearer's mouth. According to various embodiments, the device includes a hollow plastic housing adapted to be worn in the ear of the wearer and a differential sensor mounted to an interior surface of the housing in an ear canal of the wearer. The differential sensor includes inlets located within the housing and the differential sensor is configured to improve speech intelligibility of sounds from the wearer's mouth, in various embodiments.

A personalized sound management system for an acoustic space includes at least one transducer, a data communication system, one or more processors operatively coupled to the data communication system and the at least one transducer, and a medium coupled to the one or more processors. The processors access a database of sonic signatures and display a plurality of personalized sound management applications that perform at least one or more tasks among identifying a sonic signature, calculating a sound pressure level, storing metadata related to a sonic signature, monitoring sound pressure level dosage levels, switching to an ear canal microphone in a noisy environment, recording a user's voice, storing the user's voice in a memory of an earpiece device, or storing the user's voice in a memory of a server system, or converting received text received in texts or emails to voice using text to speech conversion. Other embodiments are disclosed.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

A button sound processor, including an RF coil, such as an inductance coil, and a sound processing apparatus and a magnet, which can be a permanent magnet, wherein the button sound processor has a skin interface side configured to interface with skin of a recipient, and the button sound processor is configured such that the magnet is installable into the button sound processor from the skin interface side.

A method of equalising sound in a headset comprising an internal microphone configured to generate a first audio signal, an external microphone configured to generate a second audio signal, a speaker, and one or more processors coupled between the speaker, the external microphone, and the internal microphone, the method comprising: while the headset is worn by a user: determining a first audio transfer function between the first audio signal and the second audio signal in the presence of sound at the external microphone; and determining a second audio transfer function between a speaker input signal and the first audio signal with the speaker being driven by the speaker input signal; determining an electrical transfer function of the one or more processors; determining a closed-ear transfer function based on the first audio transfer function, the second audio transfer function and the electrical transfer function; and equalising the first audio signal based on a comparison between the closed-ear transfer function and an open-ear transfer function to generate an equalised first audio signal.

An exemplary system includes a memory storing instructions and a processor communicatively coupled to the memory. The processor is configured to execute the instructions to concurrently present, within a graphical user interface displayed by a display device, a gain limit curve and a target gain curve representing a target gain profile for the useable gain by a hearing device across a range of frequencies, the target gain curve corresponding to a first sound input level and initially having an amplitude greater than an amplitude of the gain limit curve within a subset of frequencies included in the range of frequencies. The processor is further configured to detect user input representative of a request to increase the amplitude of the gain limit curve, increase a portion of the gain limit curve, and update the gain limit profile in accordance with the increased portion of the gain limit curve.