Automatic Parkinson's disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)
S Hawi, J Alhozami, R AlQahtani, D AlSafran… - … Signal Processing and …, 2022 - Elsevier
In recent years, acoustic signals have found increasing popularity among the scientific
community as biomarkers for detecting Parkinson's disease. Literature highlights that 90% of …
community as biomarkers for detecting Parkinson's disease. Literature highlights that 90% of …
A New Method for Heart Disease Detection: Long Short-Term Feature Extraction from Heart Sound Data
Heart sounds have been extensively studied for heart disease diagnosis for several
decades. Traditional machine learning algorithms applied in the literature have typically …
decades. Traditional machine learning algorithms applied in the literature have typically …
Voice-quality Features for Deep Neural Network Based Speaker Verification Systems
A Woubie, L Koivisto… - 2021 29th European Signal …, 2021 - ieeexplore.ieee.org
Jitter and shimmer are voice-quality features which have been successfully used to detect
voice pathologies and classify different speaking styles. In this paper, we investigate the …
voice pathologies and classify different speaking styles. In this paper, we investigate the …
[HTML][HTML] Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network
The goal of this research is to find a way of highlighting the acoustic differences between
consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity …
consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity …
Unsupervised quasi-silence based speech segmentation for speaker diarization
This paper presents a computationally efficient and accurate speech segmentation
framework suitable for speaker diarization. The proposed approach solves the problem of …
framework suitable for speaker diarization. The proposed approach solves the problem of …
Heart diseases diagnose via mobile application
Featured Application The design and verification result of a mobile application that can
detect heart abnormalities is presented within the scope of this work. Abstract One of the …
detect heart abnormalities is presented within the scope of this work. Abstract One of the …
Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning
This paper presents a computationally efficient and distributed speaker diarization
framework for networked IoT-style audio devices. The work proposes a Federated Learning …
framework for networked IoT-style audio devices. The work proposes a Federated Learning …
Investigation of spoken-language detection and classification in broadcasted audio content
The current paper focuses on the investigation of spoken-language classification in audio
broadcasting content. The approach reflects a real-word scenario, encountered in modern …
broadcasting content. The approach reflects a real-word scenario, encountered in modern …
Prediction of Gender and Emotion Using Acoustic Features
S Sathyavathi, H Deksha, A Krishnan… - … on Advancements in …, 2023 - ieeexplore.ieee.org
Detecting gender and emotion from voice data is a challenging issue in machine learning.
This paper presents a novel approach for detecting gender and emotion from voice data …
This paper presents a novel approach for detecting gender and emotion from voice data …
Automatic speech recognition for Ukrainian broadcast media transcribing
MM Sazhok, RA Seliukh, DY Fedoryn… - Control systems & …, 2019 - dspace.nbuv.gov.ua
AUTOMATIC SPEECH RECOGNITION FOR UKRAINIAN BROADCAST MEDIA
TRANSCRIBING Page 1 46 ISSN 2706-8145, Системи керування та комп’ютери, 2019, № 6 …
TRANSCRIBING Page 1 46 ISSN 2706-8145, Системи керування та комп’ютери, 2019, № 6 …