Results 21 to 30 of about 600 (157)
IEEE Access, 2021 Automatic voice pathology detection enables objective assessment of pathologies that affect the voice production mechanism. Detection systems have been developed using the traditional pipeline approach (consisting of the feature extraction part and the ...
Mittapalle Kiran Reddy, Paavo Alku
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LightFD: Real-Time Fault Diagnosis with Edge Intelligence for Power Transformers
Sensors, 2022 Power fault monitoring based on acoustic waves has gained a great deal of attention in industry. Existing methods for fault diagnosis typically collect sound signals on site and transmit them to a back-end server for analysis, which may fail to provide a
Xinhua Fu +4 more
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Arabic Speaker Identification System Using Multi Features [PDF]
Engineering and Technology Journal, 2020 The performance regarding the Speaker Identification Systems (SIS) has enhanced because of the current developments in speech processing methods, however, an improvement is still required with regard to text-independent speaker identification in the ...
Rawia Mohammed, Nidaa Hassan, Akbas Ali
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Simulasi Simulasi Ekstraksi Fitur Suara menggunakan Mel-Frequency Cepstrum Coefficient
Jurnal Sains dan Informatika, 2022 Berbicara adalah cara komunikasi yang paling mudah dan banyak digunakan antara manusia. Pengembangan antarmuka komputer manusia untuk membangun dialog serupa antara mesin dan manusia adalah inspirasi di balik sistem pengenalan suara. Salah satu algoritma tersebut adalah koefisien Cepstral frekuensi Mel. Makalah ini menjelaskan semua tahapan teknik MFCC
Santoso Santoso +3 more
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Frontiers in Physiology, 2022 Heart sound classification plays a critical role in the early diagnosis of cardiovascular diseases. Although there have been many advances in heart sound classification in the last few years, most of them are still based on conventional segmented ...
Feng Li +4 more
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VOICE RECOGNITION SECURITY SYSTEM USING MEL-FREQUENCY CEPSTRUM COEFFICIENTS
Asian Journal of Pharmaceutical and Clinical Research, 2016 ABSTRACTObjective: Voice Recognition is a fascinating field spanning several areas of computer science and mathematics. Reliable speaker recognition is a hardproblem, requiring a combination of many techniques; however modern methods have been able to achieve an impressive degree of accuracy.
P Mahalakshmi +2 more
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Applied Sciences, 2019 We evaluated electrocardiogram (ECG) biometrics using pre-configured models of convolutional neural networks (CNNs) with various time-frequency representations.
Yeong-Hyeon Byeon, Keun-Chang Kwak
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Diagnostics, 2021 Lung sounds remain vital in clinical diagnosis as they reveal associations with pulmonary pathologies. With COVID-19 spreading across the world, it has become more pressing for medical professionals to better leverage artificial intelligence for faster ...
Shing-Yun Jung +4 more
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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method
Complexity, 2020 In the recent years, along with the development of artificial intelligence (AI) and man-machine interaction technology, speech recognition and production have been asked to adapt to the rapid development of AI and man-machine technology, which need to ...
Guofeng Ren, Guicheng Shao, Jianmei Fu
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AI Enhancements for Linguistic E-Learning System
Applied Sciences, 2023 E-learning systems have been considerably developed after the COVID-19 pandemic. In our previous work, we developed a linguistic interactive E-learning system for phonetic transcription learning.
Jueting Liu +6 more
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