ASR-based speech intelligibility prediction: A review
M Karbasi, D Kolossa - Hearing Research, 2022 - Elsevier
Various types of methods and approaches are available to predict the intelligibility of speech
signals, but many of these still suffer from two major problems: first, their required prior …
signals, but many of these still suffer from two major problems: first, their required prior …
[HTML][HTML] On the possible overestimation of cognitive decline: the impact of age-related hearing loss on cognitive-test performance
C Füllgrabe - Frontiers in Neuroscience, 2020 - frontiersin.org
Individual differences and age-related normal and pathological changes in mental abilities
require the use of cognitive screening and assessment tools. However, simultaneously …
require the use of cognitive screening and assessment tools. However, simultaneously …
[HTML][HTML] Noise, age, and gender effects on speech intelligibility and sentence comprehension for 11-to 13-year-old children in real classrooms
The present study aimed to investigate the effects of type of noise, age, and gender on
children's speech intelligibility (SI) and sentence comprehension (SC). The experiment was …
children's speech intelligibility (SI) and sentence comprehension (SC). The experiment was …
Predicting speech perception in older listeners with sensorineural hearing loss using automatic speech recognition
L Fontan, T Cretin-Maitenaz, C Füllgrabe - Trends in hearing, 2020 - journals.sagepub.com
The objective of this study was to provide proof of concept that the speech intelligibility in
quiet of unaided older hearing-impaired (OHI) listeners can be predicted by automatic …
quiet of unaided older hearing-impaired (OHI) listeners can be predicted by automatic …
Unsupervised uncertainty measures of automatic speech recognition for non-intrusive speech intelligibility prediction
Non-intrusive intelligibility prediction is important for its application in realistic scenarios,
where a clean reference signal is difficult to access. The construction of many non-intrusive …
where a clean reference signal is difficult to access. The construction of many non-intrusive …
[HTML][HTML] Automatic speech recognition in neurodegenerative disease
Automatic speech recognition (ASR) could potentially improve communication by providing
transcriptions of speech in real time. ASR is particularly useful for people with progressive …
transcriptions of speech in real time. ASR is particularly useful for people with progressive …
[HTML][HTML] Deep neural network model of hearing-impaired speech-in-noise perception
Many individuals struggle to understand speech in listening scenarios that include
reverberation and background noise. An individual's ability to understand speech arises …
reverberation and background noise. An individual's ability to understand speech arises …
Exploiting hidden representations from a DNN-based speech recogniser for speech intelligibility prediction in hearing-impaired listeners
An accurate objective speech intelligibility prediction algorithms is of great interest for many
applications such as speech enhancement for hearing aids. Most algorithms measures the …
applications such as speech enhancement for hearing aids. Most algorithms measures the …
Can we use speaker embeddings on spontaneous speech obtained from medical conversations to predict intelligibility?
The automatic prediction of speech intelligibility is a recurrent problem in the context of
pathological speech. Despite recent developments, these systems are normally applied to …
pathological speech. Despite recent developments, these systems are normally applied to …
Automatic extraction of speech rhythm descriptors for speech intelligibility assessment in the context of Head and Neck Cancers
The temporal dimension of speech acoustics is rarely taken into account in automatic
models for Speech Intelligibility evaluation, although the rhythmic recurrence of phonemes …
models for Speech Intelligibility evaluation, although the rhythmic recurrence of phonemes …