Works matching DE "CEPSTRUM analysis (Mechanics)"
Results: 214
Lebesgue points and restricted convergence of Fourier transforms and Fourier series.
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- Analysis & Applications, 2017, v. 15, n. 1, p. 107, doi. 10.1142/S0219530516500068
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A New Method for Separating Discrete Components from a Signal.
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- Sound & Vibration, 2011, v. 45, n. 5, p. 6
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Al-Quran recitation verification for memorization test using Siamese LSTM network.
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- Communications in Science & Technology, 2021, v. 6, n. 1, p. 35, doi. 10.21924/cst.6.1.2021.344
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A bearing fault feature extraction method based on cepstrum pre-whitening and a quantitative law of symplectic geometry mode decomposition.
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- Journal of Southeast University (English Edition), 2021, v. 37, n. 1, p. 33, doi. 10.3969/j.issn.1003-7985.2021.01.005
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Detection and Quantization of Bearing Fault in Direct Drive Wind Turbine via Comparative Analysis.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/2378435
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Evaluation of an interferometric distance meter.
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- Journal of Measurement Science & Instrumentation, 2014, v. 5, n. 3, p. 73, doi. 10.3969/j.issn.1674-8042.2014.03.014
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ENHANCEMENT OF SOLUBILITY OF LORNOXICAM USING NOVEL LIQUISOLID TECHNIQUE.
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- Pharma Science Monitor, 2015, v. 6, n. 2, p. 196
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Topographic Analysis of Electroencephalographic Changes during Photic Driving Responses in Patients with Migraine.
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- Neuropsychobiology, 2015, v. 71, n. 1, p. 49, doi. 10.1159/000368118
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Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech.
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- EURASIP Journal on Advances in Signal Processing, 2015, v. 2015, n. 1, p. 1, doi. 10.1186/s13634-015-0242-x
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Pseudo-differential operator associated with the fractional Fourier transform.
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- Mathematical Communications, 2016, v. 21, n. 1, p. 115
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Sound Analysis for Diagnosis of Children Health Based on MFCCE and GMM.
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- International Review on Computers & Software, 2011, v. 6, n. 6, p. 1153
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Algorithm for Cepstral Analysis and Homomorphic Filtering for Glottal Feature Estimation in Speech Signals.
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- International Review of Electrical Engineering, 2015, v. 10, n. 4, p. 561, doi. 10.15866/iree.v10i4.6961
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Eliminating the Effects of Multipath Signal Propagation in a Smoothly Inhomogeneous Medium.
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- Radiophysics & Quantum Electronics, 2013, v. 56, n. 7, p. 413, doi. 10.1007/s11141-013-9444-y
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Evaluating the Correspondence of H/V Spectral ratio to Rayleigh Wave's Ellipticity.
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- Geotechnical & Geological Engineering, 2017, v. 35, n. 6, p. 2817, doi. 10.1007/s10706-017-0280-2
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NONINVASIVE DETERMINATION OF PROPAGATION PARAMETERS IN THE CAROTID ARTERY.
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- Journal of Mechanics in Medicine & Biology, 2023, v. 23, n. 1, p. 1, doi. 10.1142/S0219519423500057
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COMPARISON BETWEEN TWO NONINVASIVE METHODS USED TO ESTIMATE BIOMECHANICAL PROPERTIES OF THE INTERNAL CAROTID ARTERY.
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- Journal of Mechanics in Medicine & Biology, 2022, v. 22, n. 4, p. 1, doi. 10.1142/S0219519422500269
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A NOVEL METHOD FOR DETERMINING THE ARRIVAL TIME OF REFLECTED WAVE AT SINGLE SITE: VALIDATION USING PHASE CONTRAST MAGNETIC RESONANCE DATA.
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- Journal of Mechanics in Medicine & Biology, 2022, v. 22, n. 4, p. 1, doi. 10.1142/S0219519422500233
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COMPARATIVE STUDY FOR WAVE SPEED ESTIMATION AT A SINGLE AND TWO MEASUREMENT POINTS.
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- Journal of Mechanics in Medicine & Biology, 2021, v. 21, n. 7, p. 1, doi. 10.1142/S0219519421500482
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Amplitude Spectrogram Prediction from Mel-Frequency Cepstrum Coefficients Using Deep Neural Networks.
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- Journal of Signal Processing (1342-6230), 2023, v. 27, n. 6, p. 207, doi. 10.2299/jsp.27.207
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Identification of concealed materials, including explosives, by terahertz reflection spectroscopy.
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- Optical Engineering, 2014, v. 53, n. 3, p. 1, doi. 10.1117/1.OE.53.3.031202
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Self-mixing interference signal analysis based on Fourier transform method for vibration measurement.
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- Optical Engineering, 2013, v. 52, n. 5, p. 1, doi. 10.1117/1.OE.52.5.053601
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Mel-cepstral feature extraction methods for image representation.
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- Optical Engineering, 2010, v. 49, n. 9, p. 097004
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PROTECTED VOICE CONTROL SYSTEM OF UNMANNED AERIAL VEHICLE.
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- Electronics & Control Systems, 2020, v. 63, n. 1, p. 92, doi. 10.18372/1990-5548.63.14529
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VOICE CONTROL COMMAND RECOGNITION SYSTEM OF UAV BASED ON STEGANOGRAPHIC-CEPSTRAL ANALYSIS.
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- Electronics & Control Systems, 2018, v. 2, n. 56, p. 11, doi. 10.18372/1990-5548.56.12928
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Feature Extraction of Voice Segments Using Cepstral Analysis for Voice Regeneration.
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- BVICAM's International Journal of Information Technology, 2015, v. 7, n. 2, p. 908
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Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words.
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- Expert Systems, 2015, v. 32, n. 6, p. 688, doi. 10.1111/exsy.12106
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Complex Cepstrum Based Voice Conversion Using Radial Basis Function.
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- ISRN Otolaryngology, 2014, p. 1, doi. 10.1155/2014/357048
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EFFICIENT VQ-BASED SPEAKER IDENTIFICATION THROUGH ELIMINATION OF ANOMALOUS VECTORS DURING MFCC FEATURE EXTRACTION.
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- Pakistan Journal of Science, 2014, v. 66, n. 1, p. 36
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Gammatone-Frequency Cepstral Coefficients Based Fear Emotion Level Recognition System.
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- Revista Mexicana de Ingeniería Biomédica, 2024, v. 45, n. 2, p. 6, doi. 10.17488/RMIB.45.2.1
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EFECTOS ACÚSTICOS INMEDIATOS DE UNA SECUENCIADE EJERCICIOS VOCALES CON TUBOS DE RESONANCIA.
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- Revista CEFAC, 2012, v. 14, n. 3, p. 471
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Towards a Small Intra-Speaker Variability Models.
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- Electronics & Electrical Engineering, 2014, v. 20, n. 6, p. 100, doi. 10.5755/j01.eee.20.6.7276
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Upgrading FPGA Implementation of Isolated Word Recognition System for a Real-Time Operation.
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- Electronics & Electrical Engineering, 2013, v. 19, n. 10, p. 123, doi. 10.5755/j01.eee.19.10.5907
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Speaker Recognition using Gaussian Mixture Models.
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- Electronics & Electrical Engineering, 2008, n. 85, p. 29
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Speaker Diary Compilation by Dependent Combination of Audio Coefficients.
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- International Journal of Simulation: Systems, Science & Technology, 2016, v. 17, n. 34, p. 16.1, doi. 10.5013/IJSSST.a.17.34.16
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The Impact of Communication Modality on Voice Production.
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- Journal of Speech, Language & Hearing Research, 2020, v. 63, n. 9, p. 2913, doi. 10.1044/2020_JSLHR-20-00161
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Acoustic Analysis of Voice in Singers: A Systematic Review.
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- Journal of Speech, Language & Hearing Research, 2018, v. 61, n. 1, p. 40, doi. 10.1044/2017_JSLHR-S-17-0145
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Implicit processing of linear prediction residual for replay attack detection.
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- International Journal of Speech Technology, 2024, v. 27, n. 3, p. 781, doi. 10.1007/s10772-024-10125-5
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Speaker identification based on normalized pitch frequency and Mel Frequency Cepstral Coefficients.
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- International Journal of Speech Technology, 2018, v. 21, n. 4, p. 941, doi. 10.1007/s10772-018-9524-7
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Choice of a classifier, based on properties of a dataset: case study-speech emotion recognition.
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- International Journal of Speech Technology, 2018, v. 21, n. 1, p. 167, doi. 10.1007/s10772-018-9495-8
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Multiclass classification of Parkinson’s disease using cepstral analysis.
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- International Journal of Speech Technology, 2018, v. 21, n. 1, p. 39, doi. 10.1007/s10772-017-9485-2
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Robust phoneme classification for automatic speech recognition using hybrid features and an amalgamated learning model.
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- International Journal of Speech Technology, 2016, v. 19, n. 4, p. 895, doi. 10.1007/s10772-016-9377-x
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Simulation and overall comparative evaluation of performance between different techniques for high band feature extraction based on artificial bandwidth extension of speech over proposed global system for mobile full rate narrow band coder.
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- International Journal of Speech Technology, 2016, v. 19, n. 4, p. 881, doi. 10.1007/s10772-016-9378-9
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Development of Standard Yorùbá speech-to-text system using HTK.
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- International Journal of Speech Technology, 2016, v. 19, n. 4, p. 929, doi. 10.1007/s10772-016-9380-2
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Speaker diarization system using MKMFCC parameterization and WLI-fuzzy clustering.
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- International Journal of Speech Technology, 2016, v. 19, n. 4, p. 945, doi. 10.1007/s10772-016-9384-y
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Text-dependent speaker verification using classical LBG, adaptive LBG and FCM vector quantization.
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- International Journal of Speech Technology, 2016, v. 19, n. 3, p. 525, doi. 10.1007/s10772-016-9346-4
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Characterization of the Acoustic Event Associated with the Loss of the ARA San Juan Submarine Based on Long-Range Measurements by CTBTO's Hydrophone Stations.
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- Pure & Applied Geophysics, 2023, v. 180, n. 4, p. 1317, doi. 10.1007/s00024-022-03090-0
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Analysis of Hydroacoustic Signals Associated to the Loss of the Argentinian ARA San Juan Submarine.
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- Pure & Applied Geophysics, 2021, v. 178, n. 7, p. 2527, doi. 10.1007/s00024-020-02625-7
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Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis.
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- Journal of Mechanical Engineering (1823-5514), 2017, v. 4, p. 103
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Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion.
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- Iranian Journal of Electrical & Electronic Engineering, 2024, v. 20, n. 4, p. 1
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Early Assessment of Voice Problems in Post-Thyroidectomy Syndrome Using Cepstral Analysis.
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- Diagnostics (2075-4418), 2024, v. 14, n. 1, p. 111, doi. 10.3390/diagnostics14010111
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