Toolkit for acoustic-phonetic analysis of naturalistic speech data. [PDF]
Kutlu E +4 more
europepmc +1 more source
Explainable artificial intelligence is expanding Parkinson's disease research by improving model transparency, supporting biomarker discovery and optimizing predictive models, but further validation and clinical integration are needed before routine healthcare implementation. ABSTRACT Parkinson's disease (PD) increasingly relies on non‐invasive digital
Lorenzo Rettori +3 more
wiley +1 more source
Incomplete compensation without further adaptation: A large-sample acoustic analysis of bite block speech in masking noise. [PDF]
Murphy TK +3 more
europepmc +1 more source
Uptake and Evaluation of a Crosslinguistic Nonword Repetition Test in Clinical and Research Contexts
ABSTRACT Introduction The Crosslinguistic Nonword Repetition Test (CL‐NWR) was designed to accommodate the phonological diversity of human languages, providing a tool that may support the identification of Developmental Language Disorder (DLD) across different linguistic backgrounds. The test materials, including a PowerPoint game with recorded stimuli,
Kamila Polišenská, Shula Chiat
wiley +1 more source
Vowel acoustic parameters in speech assessment and rehabilitation of minimally verbal and speech-motor-impaired autistic children: a narrative review. [PDF]
Chen Y, Chen D.
europepmc +1 more source
ABSTRACT Objective This study aimed to compare phonological awareness and verbal working memory skills, as measured by a nonword repetition task, in children with speech sound disorders (SSD) and typically developing peers. It also examined the relationship between these two cognitive‐linguistic abilities within each group.
Özlem Icoz, Esra Özcebe
wiley +1 more source
The Falling Tone That Rolls Down the Hill and Gets Slumped: Vertical Mapping of Lexical Tones with Motion and Valence. [PDF]
Gao F, Ngai CH, Zhou H.
europepmc +1 more source
Elizabeth Tucker, Michiel de Vaan
openaire +2 more sources
Network Models for Assessing the Co‐occurrence Between Stuttering and ADHD
ABSTRACT Background and Aims Previous studies have indicated that people who stutter (PWS) and people with ADHD (PWADHD) show similar cognitive profiles, implying a link between the two neurodevelopmental profiles. This study examined the relationship between stuttering and ADHD and investigated the extent of this similarity using Network Models (NMs).
Fjorda Kazazi, Peter Howell
wiley +1 more source
Speech-based concussion detection in athletes using Mel-spectrograms and convolutional neural networks. [PDF]
Rubaiat R, Poellabauer C.
europepmc +1 more source

