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 …
Sinusoidal model-based diagnosis of the common cold from the speech signal
Background and objective: Developing speech signal-based non-invasive diagnosis
techniques is an emerging research field in biomedical signal processing. Detecting the …
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 …
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
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 …
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
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 …
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
Abstract Autism Spectrum Disorder (ASD), a neurodevelopmental disability, has become
one of the high incidence diseases among children. Studies indicate that early diagnosis …
one of the high incidence diseases among children. Studies indicate that early diagnosis …
Analysis and classification of cold speech using variational mode decomposition
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 …
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
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 …
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
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 …
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
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 …
are highly interesting. One aspect of speech-processing research that is gaining popularity …