System and methods for processing audio signals are disclosed. In one implementation, a system may include at least one microphone configured to capture sounds from an environment of a user; a wearable camera configured to capture a plurality of images from the environment of the user; and at least one processor. The processor may be configured to receive at least one image of the plurality of images; receive at least one audio signal representative of the sounds captured by the at least one microphone; identify an item of information based on at least one of the at least one image or the at least one audio signal; determine at least a beginning of an informational time period for providing the item of information to the user; and transmit an informational audio signal representative of the item of information to a hearing interface device during the informational time period.

Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Disclosed herein are method, system, and computer program product embodiments for performing the continuous tuning of received audio input from an earpiece or microphone especially customized for karaoke singing, wherein the audio input may be mixed with user-selected song input, and the joint mixed input is independently altered in the frequency domain for output to an earpiece worn by a user as well as separately for an additional audio output to an external connected speaker, for an optimal karaoke experience.

Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Various systems and methods are disclosed herein to increase the quality of the sound delivered to a user and allow personalization to optimize listening performance and comfort under atypical listening conditions, environment specific adjustment, and data capture to assist in the personalization of the system to the user's needs and preferences. Features disclosed include sound level rating systems that aggregate noise data detected by user's mobile phones or hearing devices to provide a database of real-time noise levels. Additionally, a user's sound settings may be saved in the system by location so that they may be recalled when re-entering a specific location. A remote clinician may tune a hearing device, or a user can tune the device using a pre-recorded audio sample. Also, a user may replay the last X seconds of audio recorded by their hearing device.

Various systems and methods are disclosed herein to increase the quality of the sound and intelligibility of speech delivered to a user by combining electric audio signals from more than one hearing assistance device that incorporates an active signal enhancement system. The method includes receiving electric audio signals at a first hearing assistance device, and sending electric audio signals to a second hearing assistance device. The electric audio signal is encoded as a replacement for input to an microphone channel located at the second hearing assistance device. The electric audio signals from the microphone located at the first hearing assistance device and the microphone located at the second hearing assistance device are combined. The combined electric audio signals are processed through a digital signal processor in the first hearing assistance device to enhance the amplitude of the desired signal via constructive interference. The combined signal is then routed through a multi-channel compressor in the first hearing assistance device to apply gain and frequency shaping as appropriate for the hearing profile of the listener, converted to an analog signal in a digital-analog converter, and then transduced and output to the user.

Techniques are described herein that transfer information using a container-located module. The module is coupled to sensor(s) that are configured to detect characteristic(s) pertaining to a medical substance that is included in a medical container. The module wirelessly transfers information that is based on the characteristic(s) to a requesting device in response to a request from the requesting device.

The present disclosure relates to an application to be executed by an electronic device. The electronic device communicates with a hearing device worn by a user. The hearing device comprises a battery and a processing unit configured to receive an input signal and provide a processed output signal for compensating a hearing loss of the user. The application is configured for transmitting a status request from the electronic device to the hearing device, receiving, at the electronic device, a status response from the hearing device, and generating a notification representing instructions for charging the battery. The notification is generated based on the received status response and predetermined settings of the application.