Software to support the Clarity Enhancement and Prediction Challenges. Python tools are provided for • Mixing scenes to generate the training and development data • Running the baseline hearing aid processing using the Oldenburg/Hoertech open Master Hearing Aid (openMHA) software platform • Running signals through a python implementation of the Moore, Stone, Baer and Glasberg (MSBG) hearing loss model • Estimating intelligibility using the Modified Binaural Short-Time Objective Intelligibility measure (MBSTOI). This version includes • The first release of the code for supporting the recently opened 1st Clarity Prediction Challenge (CPC1) • Code for supporting the (now closed) 1st Clarity Enhancement Challenge (CEC1
This paper details the development of an acoustically adaptive modular system capable of enhancing S...
People with hearing loss (HL) often express a desire for the particular hearing device that will yie...
This paper proposes neural models to predict Speech Intelligibility (SI),both by prediction of estab...
Software to support the Clarity Enhancement Challenge. Python tools are provided for • Mixing scen...
Software to support the Clarity Enhancement Challenge. Python tools are provided for Mixing scen...
In recent years, rapid advances in speech technology have been made possible by machine learning cha...
In recent years, rapid advances in speech technology have been made possible by machine learning cha...
Objective speech intelligibility metrics are used to reduce the need for time consuming listening te...
Hearing loss research has traditionally been based on perceptual criteria, speech intelligibility an...
A new objective measurement system to predict speech intelligibility in binaural listening condition...
Improving the user's hearing ability to understand speech in noisy environments is critical to the d...
[EN] The improvement of speech intelligibility in hearing aids is a traditional problem that still r...
According to a study by Action on Hearing Loss (2017a), 80% of people with hearing loss have difficu...
The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to...
When instructed to speak clearly for people with hearing loss, a talker can effectively enhance the ...
This paper details the development of an acoustically adaptive modular system capable of enhancing S...
People with hearing loss (HL) often express a desire for the particular hearing device that will yie...
This paper proposes neural models to predict Speech Intelligibility (SI),both by prediction of estab...
Software to support the Clarity Enhancement Challenge. Python tools are provided for • Mixing scen...
Software to support the Clarity Enhancement Challenge. Python tools are provided for Mixing scen...
In recent years, rapid advances in speech technology have been made possible by machine learning cha...
In recent years, rapid advances in speech technology have been made possible by machine learning cha...
Objective speech intelligibility metrics are used to reduce the need for time consuming listening te...
Hearing loss research has traditionally been based on perceptual criteria, speech intelligibility an...
A new objective measurement system to predict speech intelligibility in binaural listening condition...
Improving the user's hearing ability to understand speech in noisy environments is critical to the d...
[EN] The improvement of speech intelligibility in hearing aids is a traditional problem that still r...
According to a study by Action on Hearing Loss (2017a), 80% of people with hearing loss have difficu...
The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to...
When instructed to speak clearly for people with hearing loss, a talker can effectively enhance the ...
This paper details the development of an acoustically adaptive modular system capable of enhancing S...
People with hearing loss (HL) often express a desire for the particular hearing device that will yie...
This paper proposes neural models to predict Speech Intelligibility (SI),both by prediction of estab...