Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Assessment of speech intelligibility in Parkinson's disease using a speech-to-text system
Patients with Parkinson's disease (PD) may have difficulties in speaking because of reduced
coordination of the muscles that control breathing, phonation, articulation, and prosody …
coordination of the muscles that control breathing, phonation, articulation, and prosody …
Speaker-independent silent speech recognition from flesh-point articulatory movements using an LSTM neural network
Silent speech recognition (SSR) converts nonaudio information such as articulatory
movements into text. SSR has the potential to enable persons with laryngectomy to …
movements into text. SSR has the potential to enable persons with laryngectomy to …
Automatic assessment of sentence-level dysarthria intelligibility using BLSTM
Dysarthria is a motor speech impairment, often characterized by slow and slurred speech
that is generally incomprehensible by human listeners. An understanding of the intelligibility …
that is generally incomprehensible by human listeners. An understanding of the intelligibility …
Investigation of different time-frequency representations for intelligibility assessment of dysarthric speech
HM Chandrashekar, V Karjigi… - Ieee transactions on …, 2020 - ieeexplore.ieee.org
Speech disorders linked to neurological problems affect person's ability to communicate
through speech. Dysarthria is one of the speech disorders caused due to muscle weakness …
through speech. Dysarthria is one of the speech disorders caused due to muscle weakness …
Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …
operations and hindering effective communication. This study addresses the gap in …
Regularized speaker adaptation of KL-HMM for dysarthric speech recognition
This paper addresses the problem of recognizing the speech uttered by patients with
dysarthria, which is a motor speech disorder impeding the physical production of speech …
dysarthria, which is a motor speech disorder impeding the physical production of speech …
[PDF][PDF] Acoustic correlates of speech intelligibility. The usability of the eGeMAPS feature set for atypical speech
Although speech intelligibility has been studied in different fields such as speech pathology,
language learning, psycholinguistics, and speech synthesis, it is still unclear which concrete …
language learning, psycholinguistics, and speech synthesis, it is still unclear which concrete …
Utterance verification-based dysarthric speech intelligibility assessment using phonetic posterior features
J Fritsch, M Magimai-Doss - Ieee signal processing letters, 2021 - ieeexplore.ieee.org
In the literature, the task of dysarthric speech intelligibility assessment has been approached
through development of different low-level feature representations, subspace modeling …
through development of different low-level feature representations, subspace modeling …
Analytic phase features for dysarthric speech detection and intelligibility assessment
K Gurugubelli, AK Vuppala - Speech Communication, 2020 - Elsevier
The objectives of the dysarthria assessment are to discriminate dysarthric speech from
normal speech, to estimate the severity of dysarthria in terms of the dysarthric speech …
normal speech, to estimate the severity of dysarthria in terms of the dysarthric speech …