[PDF][PDF] Automatic intelligibility assessment of pathologic speech in head and neck cancer based on auditory-inspired spectro-temporal modulations.

X Zhou, D Garcia-Romero, N Mesgarani… - …, 2012 - isca-archive.org
… As an effort towards automatic intelligibility assessment of pathologic speech, this study … in
speech intelligibility and a distortion in those modulations will result in loss of intelligibility [11]. …

Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric

Y Tang, BM Fazenda, TJ Cox - Applied Sciences, 2018 - mdpi.com
… There is no guarantee that the speech content will be intelligible for the general population
… to automatically determine the appropriate SBR for a scene using an objective intelligibility

Comparing supervised models and learned speech representations for classifying intelligibility of disordered speech on selected phrases

S Venugopalan, J Shor, M Plakal, J Tobin… - arXiv preprint arXiv …, 2021 - arxiv.org
Automatic classification of disordered speech can provide an objective tool for identifying
the presence and severity of a speech … to classify the intelligibility of disordered speech on …

Fuzzy Petri Nets as a Classification Method for Automatic Speech Intelligibility Detection of Children with Speech Impairments

F Rosdi - 2016 - search.proquest.com
… which are related to the intelligibility deficits. This research also presents how the intelligibility
… The results showed that FPN is more reliable in discriminating speech sounds than the …

Improved speaker independent dysarthria intelligibility classification using deepspeech posteriors

A Tripathi, S Bhosale… - … on Acoustics, Speech and …, 2020 - ieeexplore.ieee.org
… Shamma, “Automatic intelligibility assessment of pathologic speech in head and neck cancer
based on auditory-inspired spectro-temporal modulations,” in ISCA Interspeech, 2012, pp. …

[PDF][PDF] Automated Dysarthria Severity Classification for Improved Objective Intelligibility Assessment of Spastic Dysarthric Speech.

MOS Paja, TH Falk - Interspeech, 2012 - isca-archive.org
automatic dysarthria severity classification is explored as a tool to advance objective intelligibility
prediction of spastic dysarthric speech… formerly proposed for intelligibility prediction and …

[PDF][PDF] Autonomous measurement of speech intelligibility utilizing automatic speech recognition.

BT Meyer, B Kollmeier, J Ooster - Interspeech, 2015 - isca-archive.org
… , T is the target speech intelligibility (in our case 50%), and s is the average slope of SRT
curves for matrix tests with a value of 0.15 dB−1 (meaning a 15% increase of intelligibility for an …

Predicting speech intelligibility from EEG in a non-linear classification paradigm

B Accou, MJ Monesi, T Francart - Journal of Neural …, 2021 - iopscience.iop.org
… objective and automatic measure of speech intelligibility with … of an objective measure of
speech intelligibility (in our case, … used to estimate the speech intelligibility of unseen subjects …

Region based prediction and score combination for automatic intelligibility assessment of dysarthric speech

HM Chandrashekar, KS Pavithra… - 2021 International …, 2021 - ieeexplore.ieee.org
… STFT and SFF time-frequency representations are used to classify dysarthric speech
based on speech intelligibility [15,17]. However, both voiced and unvoiced regions of speech

Pathological speech intelligibility assessment based on the short-time objective intelligibility measure

P Janbakhshi, I Kodrasi… - … on Acoustics, Speech and …, 2019 - ieeexplore.ieee.org
… Impaired speech intelligibility in motor speech disorders arising … measures to automatically
assess speech intelligibility are … automatically assess the intelligibility of pathological speech