Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Pharmacy, University of Pisa Via Bonanno 6 56126 Pisa Italy giulia.bononi@farm.unipi.it valentina.citi@unipi.it alma.martelli@unipi.it giulio.poli@unipi.it tiziano.tuccinardi@unipi.it carlotta.granchi@unipi.it lara.testai@unipi.it vincenzo.calderone@unipi.it filippo.minutolo@unipi.it.
Center for Instrument Sharing of the University of Pisa (CISUP) Lungarno Pacinotti 43 56126 Pisa Italy.
Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 761001, Israel.
School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
State Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Listening to speech with poor signal quality is challenging. Neural speech tracking of degraded speech has been used to advance the understanding of how brain processes and speech intelligibility are ...
The purpose of the study is to investigate the impacts of a surgical mask and a transparent mask on audio-only and audiovisual speech intelligibility in noise (i.e., 0 dB signal-to-noise ratio) in ind...
Thirty-one individuals with hearing loss (from 22 to 74 years old) completed keyword identification tasks to measure face-masked speech intelligibility in noise. A mixed-effects logistic regression mo...
In the audio-only mode, the GHL group showed reduced speech intelligibility regardless of other factors, whereas the MHL group showed decreased speech intelligibility for the transparent mask more tha...
The findings indicate that, when using face masks, either a transparent mask or a surgical mask negatively affects speech understanding in noise for individuals with hearing loss. Using a transparent ...
This study sought to determine if alternative vowel space area (VSA) measures (i.e., novel trajectory-based measures: vowel space hull area and vowel space density) predicted speech intelligibility to...
The Grandfather Passage was read aloud by 40 speakers with dysarthria of varying etiologies, including Parkinson's disease (...
Traditional VSA was the sole significant predictor of speech intelligibility for both the OTs (...
The findings suggest that traditional token-based vowel measures better predict intelligibility than trajectory-based measures. Additionally, the findings suggest that VAS methods are comparable to OT...
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 knowledge, w...
Speech perception is a probabilistic process, integrating bottom-up and top-down sources of information, and the frequency and phonological neighborhood of a word can predict how well it is perceived....
We measured the intelligibility of 165 children between 30 and 47 months in age on 38 different single words. We performed an item response analysis using generalized mixed-effects logistic regression...
There was considerable variation among the words and the children, but between-word variability was larger in magnitude than between-child variability. There was a clear positive effect of target word...
Word frequency and neighborhood competition both had an effect on intelligibility in young children's speech, so listener expectations are an important factor in the selection of items for children's ...
It is well known that speech uses both the auditory and visual modalities to convey information. In cases of congenital sensory deprivation, the feedback language learners have access to for mapping v...
Twenty adult listeners performed two perceptual identification tasks in which vowels produced by congenitally blind adults and sighted adults were used as stimuli. The vowels were presented in the aud...
The results showed that, although blind speakers did not differ from their sighted peers in the auditory modality, they had lower scores in the audiovisual and visual modalities. Some vowels produced ...
Together, the results suggest that adult blind speakers have learned to adapt to their sensory loss so that they can successfully achieve intelligible vowel targets in non-noisy conditions but that th...
The purpose of the current study is to explore listeners' perception of accented speech in terms of confidence and intelligence. To this end, three groups of listeners were asked to rate speakers of E...
Auditory rhythms are ubiquitous in music, speech, and other everyday sounds. Yet, it is unclear how perceived rhythms arise from the repeating structure of sounds. For speech, it is unclear whether rh...
This study investigated whether listener processing of dysarthric speech requires the recruitment of more cognitive resources (i.e., higher levels of listening effort) than neurotypical speech. We als...
A word recall paradigm was used to index behavioral listening effort. The primary task involved word transcription, whereas a memory task involved recalling words from previous sentences. Nineteen lis...
Results revealed significant effects of dysarthria on the likelihood of correct word recall, indicating that the transcription of dysarthric speech required higher levels of behavioral listening effor...
Results suggest that cognitive resources, particularly listeners' working memory capacity, are more taxed when deciphering dysarthric versus neurotypical speech. An increased demand on these resources...
There is increasing interest in using automatic speech recognition (ASR) systems to evaluate impairment severity or speech intelligibility in speakers with dysarthria. We assessed the clinical validit...
Using speech samples collected from 52 individuals with ALS and 20 healthy control speakers, we compared word recognition rate (WRR) from the commercially available Google Cloud ASR API (Machine WRR) ...
Human WRR achieved better accuracy than Machine WRR when indexing speech severity, and, although related, Human and Machine WRR were not strongly correlated. When the speech signal was mixed with nois...
Results indicated that the OTS ASR system was inadequate for early detection of speech impairment and grading overall speech severity. While Machine and Human WRR were correlated, ASR should not be us...
