Mel frequency cepstral coefficient and its applications: A review
ZK Abdul, AK Al-Talabani - IEEE Access, 2022 - ieeexplore.ieee.org
Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
AI-Based human audio processing for COVID-19: A comprehensive overview
Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …
The muse 2023 multimodal sentiment analysis challenge: Mimicked emotions, cross-cultural humour, and personalisation
The Multimodal Sentiment Analysis Challenge (MuSe) 2023 is a set of shared tasks
addressing three different contemporary multimodal affect and sentiment analysis problems …
addressing three different contemporary multimodal affect and sentiment analysis problems …
The MuSe 2021 multimodal sentiment analysis challenge: sentiment, emotion, physiological-emotion, and stress
Multimodal Sentiment Analysis (MuSe) 2021 is a challenge focusing on the tasks of
sentiment and emotion, as well as physiological-emotion and emotion-based stress …
sentiment and emotion, as well as physiological-emotion and emotion-based stress …
The muse 2022 multimodal sentiment analysis challenge: humor, emotional reactions, and stress
The Multimodal Sentiment Analysis Challenge (MuSe) 2022 is dedicated to multimodal
sentiment and emotion recognition. For this year's challenge, we feature three datasets:(i) …
sentiment and emotion recognition. For this year's challenge, we feature three datasets:(i) …
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
We present an experimental investigation into the effectiveness of transfer learning and
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
COVID-19 sounds: a large-scale audio dataset for digital respiratory screening
Audio signals are widely recognised as powerful indicators of overall health status, and
there has been increasing interest in leveraging sound for affordable COVID-19 screening …
there has been increasing interest in leveraging sound for affordable COVID-19 screening …
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
Symbolic learning is the logic-based approach to machine learning, and its mission is to
provide algorithms and methodologies to extract logical information from data and express it …
provide algorithms and methodologies to extract logical information from data and express it …
The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes
The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …
different problems for the first time in a research competition under well-defined conditions …
SERAB: A multi-lingual benchmark for speech emotion recognition
N Scheidwasser-Clow, M Kegler… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Recent developments in speech emotion recognition (SER) often leverage deep neural
networks (DNNs). Comparing and benchmarking different DNN models can often be tedious …
networks (DNNs). Comparing and benchmarking different DNN models can often be tedious …