A novel approach for classification of speech emotions based on deep and acoustic features
MB Er - IEEE Access, 2020 - ieeexplore.ieee.org
The problem of recognition and classification of emotions in speech is one of the most
prominent research topics, that has gained popularity, in human-computer interaction in the …
prominent research topics, that has gained popularity, in human-computer interaction in the …
[HTML][HTML] Effect of Hilbert-Huang transform on classification of PCG signals using machine learning
Ö Arslan, M Karhan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Heartbeat sounds are biological signals used in the early diagnosis of cardiovascular
diseases. Digital heartbeat sound recordings, called phonocardiogram (PCG), are used in …
diseases. Digital heartbeat sound recordings, called phonocardiogram (PCG), are used in …
Parkinson's disease diagnosis in cepstral domain using MFCC and dimensionality reduction with SVM classifier
Parkinson's disease (PD) is one of the most common and serious neurological diseases.
Impairments in voice have been reported to be the early biomarkers of the disease. Hence …
Impairments in voice have been reported to be the early biomarkers of the disease. Hence …
Acoustic feature based geometric defect identification in wire arc additive manufacturing
In additive manufacturing of metals, numerous techniques have been employed to sense
print defects. Among these, acoustic-based sensing has the advantage of low cost and …
print defects. Among these, acoustic-based sensing has the advantage of low cost and …
Deepaup: A deep neural network framework for abnormal underground heat transport pipelines
Pipeline inspection methods are continuously being developed, given that the safe
maintenance and operation of heat transport pipelines is one of the most important issues in …
maintenance and operation of heat transport pipelines is one of the most important issues in …
Urban sound classification using convolutional neural network and long short term memory based on multiple features
There are many sounds all around us and our brain can easily and clearly identify them.
Furthermore, our brain processes the received sound signals continuously and provides us …
Furthermore, our brain processes the received sound signals continuously and provides us …
Review of automatic detection and classification techniques for cetacean vocalization
Cetaceans have elicited the attention of researchers in recent decades due to their
importance to the ecosystem and their economic values. They use sound for communication …
importance to the ecosystem and their economic values. They use sound for communication …
Heart sound classification using machine learning and phonocardiogram
This research pertains to classification of the heart sound using digital Phonocardiogram
(PCG) signals targeted to screen for heart ailments. In this study, an existing variant of the …
(PCG) signals targeted to screen for heart ailments. In this study, an existing variant of the …
Towards audio-based identification of Ethio-Semitic languages using recurrent neural network
In recent times, there is an increasing interest in employing technology to process natural
language with the aim of providing information that can benefit society. Language …
language with the aim of providing information that can benefit society. Language …
Multifeature Fusion Method with Metaheuristic Optimization for Automated Voice Pathology Detection
Voice pathologies occur due to various factors, such as malfunction of the vocal cords.
Computerized acoustic examination-based vocal pathology detection is crucial for early …
Computerized acoustic examination-based vocal pathology detection is crucial for early …