AIMC Topic: Hearing Aids
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Improving the performance of hearing aids in noisy environments based on deep learning technology.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2018
The performance of a deep-learning-based speech enhancement (SE) technology for hearing aid users, called a deep denoising autoencoder (DDAE), was investigated. The hearing-aid speech perception index (HASPI) and the hearing- aid sound quality index ...
Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality.
Trends in hearing
Jan 1, 2018
Despite great advances in hearing-aid technology, users still experience problems with noise in windy environments. The potential benefits of using a deep recurrent neural network (RNN) for reducing wind noise were assessed. The RNN was trained using...
Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction Algorithms.
Trends in hearing
Jan 1, 2018
The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to predict the individual speech-in-noise recognition performance of listeners with normal and impaired hearing with and without a given hearing-aid alg...
An algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker.
The Journal of the Acoustical Society of America
Jun 1, 2017
Individuals with hearing impairment have particular difficulty perceptually segregating concurrent voices and understanding a talker in the presence of a competing voice. In contrast, individuals with normal hearing perform this task quite well. This...
Audiometry, Speech
Perceptual Masking
Auditory Threshold
Hearing Loss, Sensorineural
Correction of Hearing Impairment
Comprehension
Acoustic Stimulation
Hearing
Persons with Hearing Disabilities
Female
Speech Perception
Aged
Speech Intelligibility
Humans
Hearing Aids
Deep Learning
Signal Processing, Computer-Assisted
Young Adult
Signal-To-Noise Ratio
Male
Middle Aged
Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.
The Journal of the Acoustical Society of America
Mar 1, 2017
Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired listeners. Here, the performance of three machine-learning algorithms and one classical algorithm, Wie...
Neural Networks, Computer
Machine Learning
Female
Middle Aged
Noise
Aged
Male
Humans
Speech Perception
Recognition, Psychology
Audiometry, Speech
Perceptual Masking
Hearing Loss
Speech Intelligibility
Signal Processing, Computer-Assisted
Persons with Hearing Disabilities
Hearing Aids
Acoustic Stimulation
Electric Stimulation
Smartphone-Based System for Learning and Inferring Hearing Aid Settings.
Journal of the American Academy of Audiology
Oct 1, 2016
BACKGROUND: Previous research has shown that hearing aid wearers can successfully self-train their instruments' gain-frequency response and compression parameters in everyday situations. Combining hearing aids with a smartphone introduces additional ...
Difficulty understanding speech in noise by the hearing impaired: underlying causes and technological solutions.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
A primary complaint of hearing-impaired individuals involves poor speech understanding when background noise is present. Hearing aids and cochlear implants often allow good speech understanding in quiet backgrounds. But hearing-impaired individuals a...
Intelligent hearing aids: the next revolution.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
The first revolution in hearing aids came from nonlinear amplification, which allows better compensation for both soft and loud sounds. The second revolution stemmed from the introduction of digital signal processing, which allows better programmabil...
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