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Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques
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 …
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 …
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
Maintaining a high quality of conversation between doctors and patients is essential in
telehealth services, where efficient and competent communication is important to promote …
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
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 …
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
Smart glasses are emerging as a popular wearable computing platform potentially
revolutionizing the next generation of human-computer interaction. The widespread …
revolutionizing the next generation of human-computer interaction. The widespread …
[HTML][HTML] Stress classification with in-ear heartbeat sounds
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 …
conventional hearing devices used to manage these conditions are not currently capable of …
Reviewing the potential of hearables for the assessment of bruxism
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 …
Bruxism is a risk factor for temporomandibular disorders. A gold standard is still lacking for …
Cough Detection Using Acceleration Signals and Deep Learning Techniques
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 …
predictor of early exacerbation or even disease progression. Continuous cough monitoring …
[HTML][HTML] Classification of breathing phase and path with in-ear microphones
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 …
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
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 …
average listener, 1 hearing protection or noise-attenuating headphones are often worn. 1–5 …