Results 11 to 20 of about 22,343 (153)
Speech Recognition Algorithm in a Noisy Environment Based on Power Normalized Cepstral Coefficient and Modified Weighted-KNN [PDF]
Engineering and Technology Journal, 2023 Speech recognition is widely used in robot control and automation. Nevertheless, the use of speech recognition in robots is limited due to its susceptibility to background noise.
Mohammed Safi, Eyad Abbas
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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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Acta Acustica, 2023 Quantifying auditory perception of blending between sound sources is a relevant topic in music perception, but remains poorly explored due to its complex and multidimensional nature.
Thilakan Jithin +3 more
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A Novel S-LDA Features for Automatic Emotion Recognition from Speech using 1-D CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 Emotions are explicit and serious mental activities, which find expression in speech, body gestures and facial features, etc. Speech is a fast, effective and the most convenient mode of human communication.
Pradeep Tiwari, A. D. Darji
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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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CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC
Applied Computer Science, 2023 Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder.
Nouhaila BOUALOULOU +2 more
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Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging [PDF]
, 2016 Environmental audio tagging aims to predict only the presence or absence of certain acoustic events in the interested acoustic scene. In this paper we make contributions to audio tagging in two parts, respectively, acoustic modeling and feature learning.
Foster, Peter +6 more
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IEEE Access, 2020 Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital domain have encountered energy consumption and processing speed
Qin Li +7 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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