Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques

MK Gourisaria, R Agrawal, M Sahni… - Discover Internet of Things, 2024 - Springer
In the era of automated and digitalized information, advanced computer applications deal
with a major part of the data that comprises audio-related information. Advancements in …

Multitask learning for acoustic scene classification with topic-based soft labels and a mutual attention mechanism

Y Leng, J Zhuang, J Pan, C Sun - Knowledge-Based Systems, 2023 - Elsevier
Acoustic scene classification (ASC) is a fundamental task of computational sound scene
analysis that aims to identify the acoustic environment via audio. Many multitask learning …

[HTML][HTML] Toward an automatic quality assessment of voice-based telemedicine consultations: A deep learning approach

M Habib, M Faris, R Qaddoura, M Alomari, A Alomari… - Sensors, 2021 - mdpi.com
Maintaining a high quality of conversation between doctors and patients is essential in
telehealth services, where efficient and competent communication is important to promote …

Toward Wearables for Bruxism Detection: Voluntary Oral Behaviors Sound Recorded Across the Head Depend on Transducer Placement

MK Nahhas, JC Türp, P Cattin, N Gerig… - Clinical and …, 2024 - Wiley Online Library
Objectives Bruxism is a parafunctional orofacial behavior. For diagnosis, wearable devices
that use sounds as biomarkers can be applied to provide the necessary information. Human …

Non-verbal Hands-free Control for Smart Glasses using Teeth Clicks

P Mohapatra, A Aroudi, A Kumar… - arxiv preprint arxiv …, 2024 - arxiv.org
Smart glasses are emerging as a popular wearable computing platform potentially
revolutionizing the next generation of human-computer interaction. The widespread …

[HTML][HTML] Stress classification with in-ear heartbeat sounds

D Benesch, B Villatte, A Vinet, S Hébert, J Voix… - Computers in Biology …, 2025 - Elsevier
Background: Although stress plays a key role in tinnitus and decreased sound tolerance,
conventional hearing devices used to manage these conditions are not currently capable of …

Reviewing the potential of hearables for the assessment of bruxism

MK Nahhas, N Gerig, P Cattin, E Wilhelm… - at …, 2024 - degruyter.com
Bruxism is a parafunctional oral behavior that affects a large percentage of the population.
Bruxism is a risk factor for temporomandibular disorders. A gold standard is still lacking for …

Cough Detection Using Acceleration Signals and Deep Learning Techniques

D Sanchez-Morillo, D Sales-Lerida, B Priego-Torres… - Electronics, 2024 - mdpi.com
Cough is a frequent symptom in many common respiratory diseases and is considered a
predictor of early exacerbation or even disease progression. Continuous cough monitoring …

[HTML][HTML] Classification of breathing phase and path with in-ear microphones

MHK Mehrban, J Voix, RE Bouserhal - Sensors, 2024 - mdpi.com
In recent years, the use of smart in-ear devices (hearables) for health monitoring has gained
popularity. Previous research on in-ear breath monitoring with hearables uses signal …

Interfacing the Tympan open-source hearing aid with an external computer for research on decreased sound tolerance

D Benesch, KN Raj, R Bouserhal, J Voix - Proceedings of Meetings on …, 2021 - pubs.aip.org
To cope with decreased sound tolerance, intolerance to sounds that do not bother the
average listener, 1 hearing protection or noise-attenuating headphones are often worn. 1–5 …