JL-TFMSFNet: A domestic cat sound emotion recognition method based on jointly learning the time–frequency domain and multi-scale features

Tang, Lu; Hu, Shipeng; Yang, Choujun; Deng, Rui; Chen, Aibin; Zhou, Guoxiong

doi:10.1016/j.eswa.2024.124620

Expert Systems with Applications

2024

DOI: 10.1016/j.eswa.2024.124620

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JL-TFMSFNet: A domestic cat sound emotion recognition method based on jointly learning the time–frequency domain and multi-scale features

Lu Tang,

Shipeng Hu,

Choujun Yang

et al.

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Classification of Acoustic Tones and Cardiac Murmurs Based on Digital Signal Analysis Leveraging Machine Learning Methods

Shakhovska,

Zagorodniy

2024

Computation

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Heart murmurs are abnormal heart sounds that can indicate various heart diseases. Although traditional auscultation methods are effective, they depend more on specialists’ knowledge, making it difficult to make an accurate diagnosis. This paper presents a machine learning-based framework for the classification of acoustic sounds and heart murmurs using digital signal analysis. Using advanced machine learning algorithms, we aim to improve the accuracy, speed, and accessibility of heart murmur detection. The proposed method includes feature extraction from digital auscultatory recordings, preprocessing using signal processing techniques, and classification using state-of-the-art machine learning models. We evaluated the performance of different machine learning algorithms, such as convolutional neural networks (CNNs), random forests (RFs) and support vector machines (SVMs), on a selected heart noise dataset. The results show that our framework achieves high accuracy in differentiating normal heart sounds from different types of heart murmurs and provides a robust tool for clinical decision-making.

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Classification of Acoustic Tones and Cardiac Murmurs Based on Digital Signal Analysis Leveraging Machine Learning Methods

Shakhovska,

Zagorodniy

2024

Computation

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JL-TFMSFNet: A domestic cat sound emotion recognition method based on jointly learning the time–frequency domain and multi-scale features

Cited by 1 publication

References 34 publications

Classification of Acoustic Tones and Cardiac Murmurs Based on Digital Signal Analysis Leveraging Machine Learning Methods

Classification of Acoustic Tones and Cardiac Murmurs Based on Digital Signal Analysis Leveraging Machine Learning Methods

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