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.

For selecting audio input, a processor calculates audio scores for device audio from a plurality of electronic devices. The processor further selects a first device audio based on the audio scores. The processor presents present the first device audio at a listening electronic device.

A hearing assistance and/or noise suppression device leverages computing power of an external device with a digital signal processor, such as a special unit that is configured to communicate with a smart device (e.g., a smart phone, smart watch or smart pendant) or a smart phone with a digital signal processor. Methods include having a hearing transducer communicate with and offload computing tasks to an external device with a digital signal processor. Systems include a hearing transducer with transducer circuitry that receives, amplifies and outputs digital signal processed audio from another device. Methods provide self-adjustment and fitting through a touch screen interface, which can be conducted outside of a clinical setting in a real world environment, and method can include remote data collection and communications with clinicians.

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.

An exemplary hearing device includes a microphone configured to capture an audio signal and a processor communicatively coupled to the microphone. The processor may be configured to determine that the audio signal includes hair interference noise caused by hair movement associated with a user of the hearing device, and adjust, based on the determining that the audio signal includes the hair interference noise, an operation of the hearing device.

The present disclosure relates to tracking of acoustic feedback events of a hearing assistance device, such as a hearing aid. Information about the acoustic feedback events is stored for analysis. Such information is useful for programming acoustic feedback cancellers and other parameters of a hearing assistance device.