Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning
Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …
prosodic properties of a speech signal are modulated with a range of health related effects …
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 …
Towards the objective speech assessment of smoking status based on voice features: a review of the literature
ABSTRACT Background and Objective In smoking cessation clinical research and practice,
objective validation of self-reported smoking status is crucial for ensuring the reliability of the …
objective validation of self-reported smoking status is crucial for ensuring the reliability of the …
Acoustical assessment of voice disorder with continuous speech using ASR posterior features
Traditionally acoustical assessment of voice disorder relies on simple and homogeneous
speech samples like sustained vowels. Continuous speech is believed to be more …
speech samples like sustained vowels. Continuous speech is believed to be more …
Investigation of DNN-HMM and lattice free maximum mutual information approaches for impaired speech recognition
S Chandrakala - IEEE Access, 2021 - ieeexplore.ieee.org
Assistive tools that recognize impaired speech due to neurological disorders are emerging
and its a fairly complex task. An Intelligent Impaired Speech Recognition system helps …
and its a fairly complex task. An Intelligent Impaired Speech Recognition system helps …
Histogram of states based assistive system for speech impairment due to neurological disorders
S Chandrakala, S Malini, SV Veni - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Assistive speech technology is a challenging task because of the impaired nature of
dysarthric speech, such as breathy voice, strained speech, distorted vowels, and …
dysarthric speech, such as breathy voice, strained speech, distorted vowels, and …
AI based speech language therapy using speech quality parameters for aphasia person: a comprehensive review
KR Jothi, SS Sivaraju… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Aphasia is a communication disorder that hinders the ability to express and communicate
with society. Aphasia individual can face difficulties in sentence formation, opinions and …
with society. Aphasia individual can face difficulties in sentence formation, opinions and …
Artificial neural network and svm based voice disorder classification
In cognitive infocommunication inspired speech processing one of the most important, but
challenging areas of research is the analysis and classification of voice disorders. This …
challenging areas of research is the analysis and classification of voice disorders. This …
[PDF][PDF] Acoustic Assessment of Disordered Voice with Continuous Speech Based on Utterance-Level ASR Posterior Features.
Most previous studies on acoustic assessment of disordered voice were focused on
extracting perturbation features from isolated vowels produced with steady-state phonation …
extracting perturbation features from isolated vowels produced with steady-state phonation …
A systematic review of machine learning based automatic speech assessment system to evaluate speech impairment
KR Jothi, VL Mamatha - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Aphasia is a communication disability that falls under the category of neurological speech
disorder. The main cause of the aphasia individual speech impairment damages certain …
disorder. The main cause of the aphasia individual speech impairment damages certain …