Results 81 to 90 of about 99,353 (337)
The Effects of COVID‐19 on Voice
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT The COVID‐19 pandemic had profound effects on vocal health, impacting both infected individuals, professional voice users and essential workers. The objective of this paper was to explore the multifaceted nature of dysphonia associated with COVID‐19, arising from both direct and indirect consequences of the pandemic.
Mausumi Syamal
wiley +1 more source
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Spasmodic dysphonia is a laryngeal dystonia that can present as adductor, abductor, or mixed types, with or without tremor. The etiology is not understood fully. Comprehensive evaluation is required to establish the diagnosis. Treatments include voice therapy, medications, botulinum toxin injection, laryngeal surgery, deep brain stimulation ...
Aaron J. Jaworek, Robert T. Sataloff
wiley +1 more source
A Generative Study of Phoneme System of Sarhaddi Balochi Dialect of Granchin [PDF]
مطالعات زبانها و گویشهای غرب ایران, 2014 Generative linguists are specifically interested in phonology as an important part of the grammar of any language. Generative phonology the beginning of which can be attributed to Chomsky and Halle (1968), has been proposed in terms of specific patterns ...
Abbas Ali Ahangar +3 more
doaj
Vowel-to-Vowel coarticulation effects in Greek
Selected papers on theoretical and applied linguistics, 1994 Vowel-to-Vowel (ν-to-ν) coarticulatory effects in Vowel-Consonant-Vowel sequences (VCV) in Greek are examined using articulatory data. The data were recorded with the technique of electropalatography (Reading EPG system) which records lingual contact with the hard palate in continuous speech.
openaire +3 more sources
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective To discuss the current clinical application and usefulness, shortcomings and future directions of traditional and artificial intelligence (AI)‐driven acoustic assessment techniques to detect voice dysfunction. Data Sources Literature review.
Meike Brockmann‐Bauser
wiley +1 more source
Function and Disability Journal, 2018 Background and Objective: One of the positive outcomes of cochlear implantation is achieving intelligible speech. Therefore, the measurement of speech intelligibility is a standard criterion for assessing the effectiveness of cochlear implants (CIs). The
Mitra Sohrabi +4 more
doaj
Analysis of the Word-Initial Segment with Reference to Lemmatising Zulu Nasal Nouns
Lexikos, 2012 <p>The process of lemmatising nasal nouns in the Zulu lexicon is problematic. The traditional method is to lemmatise a Zulu lexical noun by etymological noun-stem. This practice creates difficulties in harmonising lexical nouns with their syntactic
M.H. Mpungose
doaj +1 more source
Applications of Artificial Intelligence in Neurological Voice Disorders
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao +2 more
wiley +1 more source
Tibetan Medical Named Entity Recognition Based on Syllable‐Word‐Sentence Embedding Transformer
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Tibetan medical named entity recognition (Tibetan MNER) involves extracting specific types of medical entities from unstructured Tibetan medical texts. Tibetan MNER provide important data support for the work related to Tibetan medicine. However, existing Tibetan MNER methods often struggle to comprehensively capture multi‐level semantic ...
Jin Zhang +9 more
wiley +1 more source
Tibetan Few‐Shot Learning Model With Deep Contextualised Two‐Level Word Embeddings
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Few‐shot learning is the task of identifying new text categories from a limited set of training examples. The two key challenges in few‐shot learning are insufficient understanding of new samples and imperfect modelling. The uniqueness of low‐resource languages lies in their limited linguistic resources, which directly leads to the difficulty ...
Ziyue Zhang +11 more
wiley +1 more source