Results 21 to 30 of about 25,464 (256)

Predicting the Remaining Time before Earthquake Occurrence Based on Mel Spectrogram Features Extraction and Ensemble Learning

Applied Sciences, 2023
Predicting the remaining time before the next earthquake based on seismic signals generated in a laboratory setting is a challenging research task that is of significant importance for earthquake hazard assessment.
Bo Zhang, Tao Xu, Wen Chen, Chongyang Zhang   +3 more
doaj   +1 more source

Emotion Recognition using Mel-Frequency Cepstral Coefficients

Journal of Natural Language Processing, 2007
In this paper, we propose a new approach to emotion recognition. Prosodic features are currently used in most emotion recognition algorithms. However, emotion recognition algorithms using prosodic features are not sufficiently accurate. Therefore, we focused on the phonetic features of speech for emotion recognition.
Sato, Nobuo, Obuchi, Yasunari
openaire   +3 more sources

Feature selection for emotion recognition in speech: a comparative study of filter and wrapper methods [PDF]

PeerJ Computer Science
Feature selection is essential for enhancing the performance and reducing the complexity of speech emotion recognition models. This article evaluates various feature selection methods, including correlation-based (CB), mutual information (MI), and ...
Alaa Altheneyan, Aseel Alhadlaq
doaj   +2 more sources

A computer-aided-diagnosis system for neuromuscular diseases using Mel frequency Cepstral coefficients

Scientific African, 2021
Amyotrophic Lateral Sclerosis (ALS) and Myopathy are the most well-known neuromuscular diseases. Electromyography (EMG) signal is hugely used in the diagnosis of these neuromuscular disorders.
Abdelali Belkhou, Atman Jbari, Othmane El Badlaoui   +2 more
doaj   +1 more source

Audio anomaly detection in industrial machines using inverse-Mel scale spectrograms

Systems and Soft Computing
Industrial machine sounds are commonly analyzed using Mel frequency scales, which are based on human auditory response and are primarily sensitive to low-frequency sounds.
Kader B.T. Shaikh, Naresh P. Jawarkar, Vasif Ahmed, Nadir N. Charniya   +3 more
doaj   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

Molecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault, Capucine Heraud, Mélissa Correia de Oliveira, Véronique Neaud, Valérie Valesco, Valérie Prouzet‐Mauleon, Béatrice Turcq, Jean‐William Dupuy, Anne‐Aurélie Raymond, Sabrina Croce, Frédéric Saltel, Valérie Lagrée, Violaine Moreau   +12 more
wiley   +1 more source

Pre-Configured Deep Convolutional Neural Networks with Various Time-Frequency Representations for Biometrics from ECG Signals

Applied Sciences, 2019
We evaluated electrocardiogram (ECG) biometrics using pre-configured models of convolutional neural networks (CNNs) with various time-frequency representations.
Yeong-Hyeon Byeon, Keun-Chang Kwak
doaj   +1 more source

Environment Sound Classification Based on Visual Multi-Feature Fusion and GRU-AWS

IEEE Access, 2020
There are two major questions regarding Environmental Sound Classification (ESC). What is the best audio recognition framework, and what is the most robust audio feature?
Ning Peng, Aibin Chen, Guoxiong Zhou, Wenjie Chen, Wenzhuo Zhang, Jing Liu, Fubo Ding   +6 more
doaj   +1 more source

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

FEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim, Marco Corazzari, Iman Osman, Jane Armstrong, Noel Carter   +4 more
wiley   +1 more source

The Mel-Frequency Cepstral Coefficients In The Context Of Singer Identification.

, 2005
[TODO] Add abstract here.
Annamaria Mesaros, Jaakko Astola
openaire   +3 more sources