MFCC in audio signal processing for voice disorder: a review
Abstract Voice Disorder or Dysphonia has caught the attention of audio signal process
engineers and researchers. The efficiency of several feature extraction and classifier …
engineers and researchers. The efficiency of several feature extraction and classifier …
[PDF][PDF] CNN and LSTM for the classification of parkinson's disease based on the GTCC and MFCC
Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical
presentations; it represents a rapidly growing neurodegenerative disorder. Since about 90 …
presentations; it represents a rapidly growing neurodegenerative disorder. Since about 90 …
MGFGNet: an automatic underwater acoustic target recognition method based on the multi-gradient flow global feature enhancement network
Z Chen, J Tang, H Qiu, M Chen - Frontiers in Marine Science, 2023 - frontiersin.org
The recognition of underwater acoustic targets plays a crucial role in marine vessel
monitoring. However, traditional underwater target recognition models suffer from limitations …
monitoring. However, traditional underwater target recognition models suffer from limitations …
Heart problems diagnosis using ECG and PCG signals and a k-nearest neighbor classifier
Y Toulni, B Nsiri, T Belhoussine Drissi - IoT Based Control Networks and …, 2022 - Springer
At the present, the diagnosis of the cardiovascular diseases knew a great evolution, this
progress was the result of the development of the techniques used in the diagnosis, which …
progress was the result of the development of the techniques used in the diagnosis, which …
Comparison of feature extraction methods between MFCC, BFCC, and GFCC with SVM Classifier for Parkinson's Disease diagnosis
N Boualoulou, T Belhoussine Drissi, B Nsiri - International Conference on …, 2023 - Springer
Abstract Analysis of the voice signal can assist in the detection of Parkinson's disease, a
degenerative and progressive neurological disorder affecting the central nervous system …
degenerative and progressive neurological disorder affecting the central nervous system …
Use of ANN, LSTM and CNN Classifiers for the New MSCC and BSCC Methods in the Detection of Parkinson's Disease by Voice Analysis.
Parkinson's disease (PD) is a neurodegenerative condition that impacts a significant global
population. The timely and precise identification of PD plays a pivotal role in facilitating early …
population. The timely and precise identification of PD plays a pivotal role in facilitating early …
A novel Parkinson's disease detection algorithm combined EMD, BFCC, and SVM classifier
Identifying and assessing Parkinson's disease in its early stages is critical to effectively
monitoring the disease's progression. Methodologies based on machine learning enhanced …
monitoring the disease's progression. Methodologies based on machine learning enhanced …
Voice-Based Detection of Parkinson's Disease Using Empirical Mode Decomposition, IMFCC, MFCC, and Deep Learning
Parkinson's disease, a chronic and progressive neurological disorder that mainly affects the
elderly, has recently drawn research attention to its manifestation in speech disorders as …
elderly, has recently drawn research attention to its manifestation in speech disorders as …
Parkinson's Disease Recognition from Speech Signal Using Discrete Wavelet Transform, Delta, Delta-Delta, and K-Nearest Neighbor
N Boualoulou, T Belhoussine Drissi, B Nsiri - International Conference on …, 2022 - Springer
Parkinson's disease (PD) is a type of neurodegenerative disorder. This disease causes
communication problems during its progression. Usually, PD is identified based on medical …
communication problems during its progression. Usually, PD is identified based on medical …