These files show the complete anonymized dataset of the results of psychophysical experiments of all conditions that led to the figures in the paper. All figures can be redrawn on the basis of these data. Shown are the conditions in the columns and the different noise types in the rows. Results are SRTs in each condition</span
Excel file containing percentage correct performance and standard error on a speech test for each pa...
Automatic speech recognition accuracy is affected adversely by the presence of noise. In this paper ...
Listening in noise is a challenging problem that affects the hearing capability of not only normal h...
Speech understanding in noisy environments is still one of the major challenges for cochlear implant...
Traditionally, algorithms that attempt to significantly improve speech intelligibility in noise for ...
The project is an exploration of the field of Artificial Intelligence, especially Artificial Neural ...
Approximately 360 million people in the world suffer from a disabling hearing loss. A cochlear impla...
Speech-in-noise perception is a major problem for users of cochlear implants (CIs), especially with ...
This project seeks to filter away noise in speech using an Artificial Neural Network (ANN). ANNs are...
The scope of this project covered the objective of filtering the background noise in speech signal u...
Approximately 360 million people in the world suffer from a disabling hearing loss. A cochlear impla...
Dataset supporting 'Auditory inspired machine learning techniques can improve speech intelligibi...
This dissertation will investigate various methods of noise reduction in speech signals using back p...
The cochlea plays a key role in the transmission from acoustic vibration to neural stimulation upon ...
Animals throughout the animal kingdom excel at extracting individual sounds from competing backgroun...
Excel file containing percentage correct performance and standard error on a speech test for each pa...
Automatic speech recognition accuracy is affected adversely by the presence of noise. In this paper ...
Listening in noise is a challenging problem that affects the hearing capability of not only normal h...
Speech understanding in noisy environments is still one of the major challenges for cochlear implant...
Traditionally, algorithms that attempt to significantly improve speech intelligibility in noise for ...
The project is an exploration of the field of Artificial Intelligence, especially Artificial Neural ...
Approximately 360 million people in the world suffer from a disabling hearing loss. A cochlear impla...
Speech-in-noise perception is a major problem for users of cochlear implants (CIs), especially with ...
This project seeks to filter away noise in speech using an Artificial Neural Network (ANN). ANNs are...
The scope of this project covered the objective of filtering the background noise in speech signal u...
Approximately 360 million people in the world suffer from a disabling hearing loss. A cochlear impla...
Dataset supporting 'Auditory inspired machine learning techniques can improve speech intelligibi...
This dissertation will investigate various methods of noise reduction in speech signals using back p...
The cochlea plays a key role in the transmission from acoustic vibration to neural stimulation upon ...
Animals throughout the animal kingdom excel at extracting individual sounds from competing backgroun...
Excel file containing percentage correct performance and standard error on a speech test for each pa...
Automatic speech recognition accuracy is affected adversely by the presence of noise. In this paper ...
Listening in noise is a challenging problem that affects the hearing capability of not only normal h...