Signal processing methods for predicting the intelligibility of speech, e.g., in the form of an index that correlate highly with the fraction of words that an average listener (amongst a group of listeners with similar hearing profiles) would be able to understand from some speech material are proposed. Specifically, solutions to the problem of predicting the intelligibility of speech signals, which are distorted, e.g., by noise or reverberation, and which might have been passed through some signal processing device, e.g., a hearing aid are described. In summary, the disclosure present solutions to the following problems: 1. Monaural, non-intrusive intelligibility prediction of noisy/processed speech signals 2. Binaural, non-intrusive intelligibility prediction of noisy/processed speech signals 3. Monaural and binaural intelligibility enhancement of noisy speech signals.

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 disclosed technology generally relates to a microphone device configured to receive sound from different beams, where each beam has a different spatial orientation and is configured to receive sound from different directions. The microphone device is also configured to process the received sound using a generic or specific head related transfer function (HRTF) to generate processed audio and transmit the processed audio to hearing devices worn by a hearing-impaired user. Additionally, the microphone device can use a reference line and/or reference point when processing the received audio.

A hearing loss correction system which is mobile compatible and comprises of a mechanism, wherein the mobile device module when in the OFF condition is used as a hearing assistive and amplification device. The hearing loss correction system comprises a microphone unit, a speaker unit and a mobile phone inbuilt application processor to operatively connect the microphone unit with the speaker unit for recording environmental sound signal though the microphone unit and storage free direct streaming of said recorded sound signal to the speaker unit upon real time amplification and background noise suppression.

An enhancement method for learning is defined by a combination of intelligent application acoustic signals and filters to enhance learning. Data from a training database can be used to modify the enhancement to a pre-recorded audio presentation portion of the learning materials. The method preferably optimizes the learning materials based on the profile of the learner and includes audio or video enhancements to improve retention of the learning material.

A method for collecting and storing sensor data (56, 64) of a hearing system (10) comprises: receiving the sensor data (56, 64) of at least one sensor (20, 32, 34) of a hearing device (12) of the hearing system (10), wherein the hearing device (12) is worn by a user; detecting a situation (72) of interest by classifying at least a part of the sensor data (56, 64) with a classifier (61) implemented in the hearing system (10); collecting the sensor data (56, 64), when the hearing system (10) is in a situation (72) of interest; and sending the collected sensor data (76) to a storage system (54) in data communication with the hearing system (10).

Various embodiments of the present disclosure are directed to modifying an input signal. In one example of a process for modifying an input signal, the process includes splitting the input signal into at least a first input part and a second input part, the amplification of at least the first input part with a linear gain to create a first output part, the nonlinear amplification of at least the second input part of the input signal to create a second output part, and summing the first output part and the second output part in order to provide an output signal.