Results 11 to 20 of about 3,813 (182)
Traffic State Evaluation Using Traffic Noise
IEEE Access, 2020 Traffic state information is widely applied into all aspects of Intelligent Transportation System (ITS), such as the macro-control of government departments, the implementation of traffic managers' plans, the decision-making of residents travel, and so ...
Qinglu Ma, Zheng Zou
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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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Journal of Information and Telecommunication, 2022 Analysing the human voice has always been a challenge to the engineering society for various purposes such as product review, emotional state detection, developing AI, and much more.
Mohammad Amaz Uddin +3 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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Enhancing Performance of End-to-End Gujarati Language ASR using combination of Integrated Feature Extraction and Improved Spell Corrector Algorithm [PDF]
ITM Web of Conferences, 2023 A number of intricate deep learning architectures for effective End-to-End (E2E) speech recognition systems have emerged due to recent advancements in algorithms and technical resources.
Bhagat Bhavesh, Dua Mohit
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Analysis of MFCC and Multitaper MFCC Feature Extraction Methods
International Journal of Computer Applications, 2015 In speech & audio applications, short-term signal spectrum is often represented using mel-freuency cepstral coefficient (MFCC) computed from a windowed discrete Fourier transform (DFT). Windowing reduces spectral leakage but variance of the spectrum estimate remains high. An extension to windowed DFT is called multitaper method which uses multiple time
S.K. Bhatia, Rupali G.
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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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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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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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Fault detection method for belt conveyor idler
Gong-kuang zidonghua, 2023 The existing fault detection methods for belt conveyor idler have the problems of low recognition precision, poor anti-interference capability and inability to operate stably over a long period of time.
WU Guoping
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