Results 21 to 30 of about 10,198 (208)
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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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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Discrimination between patients with CVDs and healthy people by voiceprint using the MFCC and Pitch
Diagnostyka, 2021 Heart diseases cause many deaths around the world every year, and his death rate makes him the leader of the killer diseases. But early diagnosis can be helpful to decrease those several deaths and save lives.
Abdelhamid Bourouhou +3 more
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Enhancing timbre model using MFCC and its time derivatives for music similarity estimation
, 2012 One of the popular methods for content-based music similarity estimation is to model timbre with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric Kullback-Leibler divergence.
Martinez, Kirk, de leon, Franz
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Statistically Significant Duration-Independent-based Noise-Robust Speaker Verification [PDF]
International Journal of Mathematical, Engineering and Management SciencesA speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance.
Asmita Nirmal +2 more
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Speech depression recognition based on attentional residual network
Frontiers in Bioscience-Landmark, 2021 Background: Depressive disorder is a common affective disorder, also known as depression, which is characterized by sadness, loss of interest, feelings of guilt or low self-worth and poor concentration.
Xiaoyong Lu +3 more
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Доклады Белорусского государственного университета информатики и радиоэлектроники, 2022 The paper describes an approach to design a system for analyzing and classification of a voice signal based on perturbation parameters and cepstral representation.
M. I. Vashkevich +2 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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