Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

N Cummins, A Baird, BW Schuller - Methods, 2018 - Elsevier
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 …

Sinusoidal model-based diagnosis of the common cold from the speech signal

P Warule, SP Mishra, S Deb, J Krajewski - Biomedical Signal Processing …, 2023 - Elsevier
Background and objective: Developing speech signal-based non-invasive diagnosis
techniques is an emerging research field in biomedical signal processing. Detecting the …

Bridging the gap between AI and the industry—A study on bearing fault detection in PMSM-driven systems using CNN and inverter measurement

PN Mueller, L Woelfl, S Can - Engineering Applications of Artificial …, 2023 - Elsevier
Deep-learning-based identification and diagnosis of faults in industrial assets has received
much attention. It does not need a deep understanding of the target domain or complex …

Detection of common cold from speech signals using deep neural network

S Deb, P Warule, A Nair, H Sultan, R Dash… - Circuits, Systems, and …, 2023 - Springer
This paper presents a deep learning-based analysis and classification of cold speech
observed when a person is diagnosed with the common cold. The common cold is a viral …

Significance of voiced and unvoiced speech segments for the detection of common cold

P Warule, SP Mishra, S Deb - Signal, image and video processing, 2023 - Springer
This work investigates the significance of the voiced and unvoiced region for detecting
common cold from the speech signal. In literature, the entire speech signal is processed to …

An automated assessment framework for atypical prosody and stereotyped idiosyncratic phrases related to autism spectrum disorder

M Li, D Tang, J Zeng, T Zhou, H Zhu, B Chen… - Computer Speech & …, 2019 - Elsevier
Abstract Autism Spectrum Disorder (ASD), a neurodevelopmental disability, has become
one of the high incidence diseases among children. Studies indicate that early diagnosis …

Analysis and classification of cold speech using variational mode decomposition

S Deb, S Dandapat, J Krajewski - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper presents analysis and classification of a pathological speech called cold speech,
which is recorded when the person is suffering from common cold. Nose and throat are …

Classification of cold and non-cold speech using vowel-like region segments

P Warule, SP Mishra, S Deb - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This work uses vowel-like region segments of speech to classify cold and non-cold speech
signals. As various articulators are affected by the common cold, speech produced during …

[PDF][PDF] Squeeze for sneeze: compact neural networks for cold and flu recognition

M Albes, Z Ren, B Schuller, N Cummins - 2020 - opus.bibliothek.uni-augsburg.de
In digital health applications, speech offers advantages over other physiological signals, in
that it can be easily collected, transmitted, and stored using mobile and Internet of Things …

Hilbert-Huang Transform-Based Time-Frequency Analysis of Speech Signals for the Identification of Common Cold

P Warule, SP Mishra, S Deb… - TENCON 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The current advancements in machine learning research pertaining to speech and health
are highly interesting. One aspect of speech-processing research that is gaining popularity …