Results 21 to 30 of about 8,304 (223)
IEEE Access, 2019 Recently, passive detection technology has developed the ability to detect surface ships based on the noise emissions recorded by hydrophones, making it possible in some cases to classify surface ships.
Kunde Yang, Xingyue Zhou
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Jurnal Teknologi dan Sistem Komputer, 2020 In this study, a system has been developed to help detect the accuracy of the reading of the Koran in the Surah Al-Kautsar based on the accuracy of the number and pronunciation of words in one complete surah. This system is very dependent on the accuracy
Jans Hendry +2 more
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ANALYSIS OF MFCC FEATURES FOR EEG SIGNAL CLASSIFICATION
International Journal of Advances in Signal and Image Sciences, 2016 In this paper, an experimental evaluation of Mel-Frequency Cepstral Coefficients (MFCCs) for use in Electroencephalogram (EEG) signal classification is presented. The MFCC features are tested using CHB-MIT Scalp EEG Database. The objective is to classify
Gnana Rajesh D
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Environment Sound Classification Based on Visual Multi-Feature Fusion and GRU-AWS
IEEE Access, 2020 There are two major questions regarding Environmental Sound Classification (ESC). What is the best audio recognition framework, and what is the most robust audio feature?
Ning Peng +6 more
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Longitudinal Investigation of Work Stressors Using Human Voice Features
Acta Informatica Pragensia, 2023 Stress is a part of everyone's life. Any event or thought that makes you upset, furious or anxious can set it off. It will affect the human health mentally and physically and produce a negative impact on nervous and immune systems in our body.
Indhumathi Natarajan +5 more
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Prediction method of operation state of mine belt conveyor
Gong-kuang zidonghua, 2022 The sensor monitoring data combined with neural network prediction model is the mainstream method of mine belt conveyor operation state prediction.
LI Jingzhao, SUN Jiechen, YE Tongzhou
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Applied Computer Systems, 2022 The paper proposes a framework to record meeting to avoid hassle of writing points of meeting. Key components of framework are “Model Trainer” and “Meeting Recorder”.
Khan Isra +3 more
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Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC
International Journal of Computer Applications, 2011 Front-end or feature extractor is the first component in an automatic speaker recognition system. Feature extraction transforms the raw speech signal into a compact but effective representation that is more stable and discriminative than the original signal.
E.G. Rajan, Satyanand Singh
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Multi-Accent Speaker Detection Using Normalize Feature MFCC Neural Network Method
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Speaker recognition is a field of research that continues to this day. Various methods have been developed to detect the human voice with greater precision and accuracy. Research on human speech recognition that is quite challenging is accent recognition.
Kristiawan Nugroho +3 more
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Shows the architecture of the MFCC.
, 2021 Shows the architecture of the MFCC.
Kuo-Wei Chao (11874072) +5 more
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