Results 41 to 50 of about 10,198 (208)
Passive Acoustic Identification of Social Groups in the Hainan Gibbon
Remote Sensing in Ecology and Conservation, EarlyView.Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga +14 more
wiley +1 more source
An automatic method using MFCC features for sleep stage classification [PDF]
Sleep stage classification is a necessary step for diagnosing sleep disorders. Generally, experts use traditional methods based on every 30 seconds (s) of the biological signals, such as electrooculograms (EOGs), electrocardiograms (ECGs ...
Wei Pei +10 more
core +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams +9 more
wiley +1 more source
Towards interpretable speech biomarkers: exploring MFCCs
Scientific Reports, 2023 Abstract While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical interpretability. As an example, Mel frequency cepstral coefficients (MFCCs) have been identified in several studies as a useful ...
Brian Tracey +9 more
openaire +3 more sources
Longitudinal Investigation of Work Stressors Using Human Voice Features
Acta Informatica Pragensia, 2023 Stress is a part of everyone's life. Any event or thought that makes you upset, furious or anxious can set it off. It will affect the human health mentally and physically and produce a negative impact on nervous and immune systems in our body.
Indhumathi Natarajan +5 more
doaj +1 more source
Safety Science and Technology, EarlyView.Molten aluminum–water explosion triggered by leakage remains the core unresolved safety hazard hindering safe production in aluminum direct chill casting. This review summarizes its explosion mechanism, key influencing factors, prevention technologies, existing gaps, and prospects of intelligent multi‐technology integrated explosion‐proof systems ...
Min Wang +5 more
wiley +1 more source
Signal & Image Processing : An International Journal, 2013 Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image processing.
Shikha Gupta +3 more
openaire +1 more source
JFA based Speaker Recognition using Delta-Phase and MFCC features [PDF]
, 2012 This paper investigates the use of mel-frequency deltaphase (MFDP) features in comparison to, and in fusion with, traditional mel-frequency cepstral coefficient (MFCC) features within joint factor analysis (JFA) speaker verification.
Kanagasundaram, Ahilan +2 more
core
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley +1 more source
Utilizing MFCCs and TEO-MFCCs to Classify Stress in Females Using SSNNA
IIUM Engineering JournalAll individuals are susceptible to experiencing stress in their everyday lives. Nevertheless, stress has a greater influence on females due to both biological and environmental factors. This study utilized female speeches to detect and classify stress and no stress in women.
Nur Aishah Zainal +5 more
openaire +2 more sources