Výsledky vyhľadávania - "Mel-Frequency Cepstral Coefficients"

Method for Biometric Coding of Speech Signals Based on Adaptive Empirical Wavelet Transform

Autori: Oleksandr Lavrynenko

Zdroj: Electronics and Control Systems; Vol. 2 No. 84 (2025); 84-91
Электроника и системы управления; Том 2 № 84 (2025); 84-91
Електроніка та системи управління; Том 2 № 84 (2025); 84-91

Predmety: speaker identification, ідентифікація диктора, biometric coding, mel-frequency cepstral coefficients, speech signal, автентифікація голосу, біометричне кодування, information protection, захист інформації, voice authentication, bandpass wavelet filters, мовний сигнал, вейвлет-перетворення, wavelet transform, мел-частотні кепстральні коефіцієнти, смугові вейвлет-фільтри

Popis súboru: application/pdf

Prístupová URL adresa: https://jrnl.nau.edu.ua/index.php/ESU/article/view/20198

AUTOMATIC IDENTIFICATION OF MUSICAL INSTRUMENTS

Zdroj: Bulletin of the National Technical University "KhPI". Series: Mathematical modeling in engineering and technologies; No. 2(9) (2025): Bulletin of the National Technical University "KhPI". Series: Mathematical modeling in engineering and technologies; 62-69
Вестник Национального технического университета "ХПИ". Серия: Математическое моделирование в технике и технологиях; № 2(9) (2025): Вісник Національного технічного університету «ХПІ». Серія: Математичне моделювання в техніці та технологіях; 62-69
Вісник Національного технічного університету «ХПІ». Серія: Математичне моделювання в техніці та технологіях; № 2(9) (2025): Вісник Національного технічного університету «ХПІ». Серія: Математичне моделювання в техніці та технологіях; 62-69

Predmety: Support Vector Machine, Approximate Nearest Neighbor, обробка аудіо, перетворення Фур'є, кепстральні коефіцієнти Mel-Frequency, аналіз сигналів, машинне навчання, audio processing, spectral features, signal analysis, метод опорних векторів, метод найближчого сусіда, machine learning, Mel-Frequency Cepstral Coefficients, Fourier transform, спектральні характеристики

Popis súboru: application/pdf

Prístupová URL adresa: http://mmtt.khpi.edu.ua/article/view/341129

Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data

Autori: Ahmed I. Taloba R.T. Matoog

Zdroj: Alexandria Engineering Journal, Vol 113, Iss, Pp 44-59 (2025)

Predmety: Mel-frequency cepstral coefficients, Respiratory diseases, 03 medical and health sciences, 0302 clinical medicine, Pattern recognition, Chronic obstructive pulmonary disease, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General)

Prístupová URL adresa: https://doaj.org/article/d1b95c0857d94555a6fcce498e927a91

Classification of Short-Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network

Autori: Md Hassanuzzaman Samit Kumar Ghosh Mohammad Nurul Akhtar Hasan a ďalší

Zdroj: IEEE Access, Vol 13, Pp 93852-93868 (2025)

Predmety: Phonocardiogram, mel-frequency cepstral coefficients, signal duration, attention transformer, Electrical engineering. Electronics. Nuclear engineering, congenital heart disease, TK1-9971

Prístupová URL adresa: https://doaj.org/article/daa54bc09e3b4d599631f78d85939753

ECG Biometrics on Mobile Devices: High-Accuracy Authentication Using i-Vectors and Cepstral Coefficients

Autori: F. Saba Koçkan Bülent Bolat

Zdroj: IEEE Access, Vol 13, Pp 52572-52591 (2025)

Predmety: Mel Frequency Cepstral Coefficients (MFCC), Biometric authentication, Gammatone Frequency Cepstral Coefficients (GFCC), Electrical engineering. Electronics. Nuclear engineering, electrocardiogram, i-vector, TK1-9971

Prístupová URL adresa: https://doaj.org/article/fd2d32db84db4478afef79b4802ed182

Anomaly Detection in Industrial Machine Sounds Using High-Frequency Features and Gate Recurrent Unit Networks

Autori: Thi-Thu-Huong Le Andro Aprila Adiputra Jiwon Yun a ďalší

Zdroj: IEEE Access, Vol 13, Pp 77165-77186 (2025)

Predmety: Mel-frequency cepstral coefficients, Anomalous sound detection, gated recurrent units, Electrical engineering. Electronics. Nuclear engineering, supervised learning, high-frequency feature, Mel-Spectrogram, TK1-9971

Prístupová URL adresa: https://doaj.org/article/efd6056fcfcf49ce8514717c7d43ba76

Utilizing Mel-Frequency Cepstral Coefficients for Acoustic Diagnostics of Damaged UAV Propellers

Autori: Bahadir Cinoglu Umut Durak T. Hikmet Karakoc

Zdroj: Volume: 05, Issue: 0279-89
International Journal of Aviation Science and Technology

Predmety: Uzay Mühendisliği (Diğer), Havacılık Elektroniği, Aerospace Engineering (Other), Mel-Frequency Cepstral Coefficients UAV MFCC Diagnostics Acoustics Propellers, Avionics, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Mel-Frequency Cepstral Coefficients, UAV, MFCC, Diagnostics, Acoustics, Propellers, 01 natural sciences, 0104 chemical sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://elib.dlr.de/212091/
https://doi.org/10.23890/ijast.vm05is02.0201
https://dergipark.org.tr/tr/pub/ijast/issue/87998/1497877

Modelling of a Speech-to-Text Recognition System for Air Traffic Control and NATO Air Command

Autori: Zietsman, Grant Malekian, Reza

Zdroj: Journal of Internet Technology. 23(7):1527-1539

Predmety: Automatic Speech Recognition (ASR), Hidden Markov Model (HMM), Gaussian Mixture Model (GMM), Mel-Frequency Cepstral Coefficients (MFCC), Covariance scaling

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-59129
https://doi.org/10.53106/160792642022122307008

Feature Selection for Kurdish-Persian Bilingual Speech: A Comparative Study of Formant Frequencies and MFCCs

Autori: Maral Asiaee Homa Asadi

Zdroj: نشریه پژوهش‌های زبان‌شناسی, Vol 17, Iss 2, Pp 29-38 (2025)

Predmety: bilingual speakers, kurdish, persian, long-term formant frequencies, mel-frequency cepstral coefficients, Philology. Linguistics, P1-1091

Popis súboru: electronic resource

Relation: https://jrl.ui.ac.ir/article_29335_65cecdcab42057b6a18f550115a55e3b.pdf; https://doaj.org/toc/2322-3413

Prístupová URL adresa: https://doaj.org/article/1bd487a3068a427baec7bb83b213456b

IMPROVED LONG-RANGE DEPENDENCY CAPTURE IN SPEECH SENTIMENT RECOGNITION: A COMPARATIVE STUDY OF MFCC-BILSTM AND MFCC-LSTM

Autori: Suman Lata Pardeep Sangwan Dinesh Sheoran a ďalší

Zdroj: Proceedings on Engineering Sciences, Vol 7, Iss 3, Pp 1955-1964 (2025)

Predmety: sentiments recognition, deep learning, bilstm- bidirectional long short-term memory networks, mfcc - mel-frequency cepstral coefficients, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: https://pesjournal.net/journal/v7-n3/52.pdf; https://doaj.org/toc/2620-2832; https://doaj.org/toc/2683-4111

Prístupová URL adresa: https://doaj.org/article/94d97c67c64a452988d3157543a46702

Unleashing Effective Identification of ALS Based on Vowel Phonation: A Deep Learning Approach

Autori: Hussein Al-Dossary Mohamudha Parveen Rahamathulla Mohemmed Sha

Zdroj: Emerging Science Journal, Vol 9, Iss 4, Pp 1962-1989 (2025)

Predmety: amyotrophic lateral sclerosis, mel-frequency cepstral coefficients, cnn, lstm, dilation rate classification, minsk2020, vowel phonation, Technology (General), T1-995, Social sciences (General), H1-99

Popis súboru: electronic resource

Relation: https://ijournalse.org/index.php/ESJ/article/view/3266; https://doaj.org/toc/2610-9182

Prístupová URL adresa: https://doaj.org/article/87d054d5cb9a4581b76665da643c2a42

Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques

Autori: Ahmad, Zafar Khan, Muhammad Salman Chowdhury, Muhammad E.H. a ďalší

Zdroj: 2024 32nd European Signal Processing Conference (EUSIPCO). :1536-1540

Predmety: Mel-frequency cepstral coefficients, heart sound classification, Tele-Auscultation, Pitch-shifting, 1D CNN

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/10576/63393

Automatic Classification of Strain in the Singing Voice Using Machine Learning

Autori: Yuanyuan Liu Mittapalle Kiran Reddy Madhu Keerthana Yagnavajjula a ďalší

Prispievatelia: Yuanyuan Liu Mittapalle Kiran Reddy Madhu Keerthana Yagnavajjula a ďalší

Zdroj: Journal of Voice.

Predmety: Auditive-perceptual evaluation—Support vector machine—Multiple layer perceptron—Fisher vector—Wavelet scattering coefficients—Mel-frequency cepstral coefficients, multiple layer perceptron, wavelet scattering coefficients, mel-frequency cepstral coefficients, support vector machine, fisher vector, auditive-perceptual evaluation

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40253260
https://aaltodoc.aalto.fi/handle/123456789/135840

Subsurface Object Detection Method using Blind Source Separation Algorithm

Autori: Jose B. Lazaro, Jr Jet F. Tipay Ren Royce G. Toledana a ďalší

Zdroj: e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 14, Iss , Pp 101108- (2025)

Predmety: Subsurface object detection, Blind Source Separation (BSS), Fast Independent Component Analysis (FastICA), Acoustic Sensing, Subsurface Object Detection, Mel Frequency Cepstral Coefficients (MFCC), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772671125002153; https://doaj.org/toc/2772-6711

Prístupová URL adresa: https://doaj.org/article/609f74ed21724ac6a2842d52e4a85539

Automatic classification of vocal intensity categories from amplitude-normalized speech signals by comparing acoustic features and classifier models

Autori: Manila Kodali Luna Ansari Sudarsana Reddy Kadiri a ďalší

Prispievatelia: Manila Kodali Luna Ansari Sudarsana Reddy Kadiri a ďalší

Zdroj: Speech Communication. 174:103288

Predmety: Mel-frequency cepstral coefficients, Mel-spectrogram, machine learning, spectrogram, Machine learning, Vocal intensity, deep learning, mel-frequency cepstral coefficients, Deep learning, vocal intensity, mel-spectrogram, Spectrogram

Popis súboru: application/pdf

Prístupová URL adresa: https://aaltodoc.aalto.fi/handle/123456789/138837

Fault diagnosis of marine electric thruster gearbox based on MPDCNN under strong noisy environments

Autori: Qianming SHANG Wanying JIANG Yi ZHOU a ďalší

Zdroj: Zhongguo Jianchuan Yanjiu, Vol 20, Iss 2, Pp 30-38 (2025)

Predmety: electric propulsion, gearboxes, failure analysis, fault diagnosis, feature extraction, mel-frequency cepstral coefficients, convolutional neural networks, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1673-3185

Prístupová URL adresa: https://doaj.org/article/72b4dca3f45b433f89f499741c476c2c

Voice Control System for Robotics in a Noisy Environment

Autori: Oleksandr Lavrynenko

Zdroj: Electronics and Control Systems; Vol. 3 No. 81 (2024); 67-74
Электроника и системы управления; Том 3 № 81 (2024); 67-74
Електроніка та системи управління; Том 3 № 81 (2024); 67-74

Predmety: support vector method, adaptive wavelet filtering, суміші Гаусових розподілів, адаптивна вейвлет-фільтрація, communication channel, mel-frequency cepstral coefficients, мовні сигнали, nonlinear distortion coefficient, канал зв'язку, метод опорних векторів, коефіцієнт нелінійних спотворень, голосове управління, mixtures of Gaussian distributions, voice control, мел-частотні кепстральні коефіцієнти, speech signals

Popis súboru: application/pdf

Prístupová URL adresa: https://jrnl.nau.edu.ua/index.php/ESU/article/view/19016

Dance Movement and Sound Cross-Correlation; Synthesis Parameters on the Micro and Meso Musical Time Scales

Autori: Aleksandar Koruga Koray Tahiroğlu Ludovico, Luca Andrea a ďalší

Prispievatelia: Aleksandar Koruga Koray Tahiroğlu Ludovico, Luca Andrea a ďalší

Zdroj: Audio Mostly 2024 - Explorations in Sonic Cultures. :445-456

Predmety: Sonification, Mel-frequency cepstral coefficients (MFCC), Digital Musical Instruments (DMIs), Signal Processing, Inertial Measurement Unit (IMU), Digital Dance and Music Instruments (DDMI), Digital Music-Dance Instruments (DMDIs), Sound Synthesis, SuperCollider, Interactive Music Systems

Popis súboru: application/pdf

Prístupová URL adresa: https://aaltodoc.aalto.fi/handle/123456789/131146

Time Series-Based Spoof Speech Detection Using Long Short-Term Memory and Bidirectional Long Short-Term Memory

Autori: Arsalan R. Mirza Abdulbasit K. Al-Talabani

Zdroj: ARO-The Scientific Journal of Koya University, Vol 12, Iss 2 (2024)

Predmety: Mel-frequency cepstral coefficients, Bidirectional Long Short-Term Memory, Technology, Constant Q cepstral coefficients, Open-source speech and music interpretation by large-space extraction, Science, Countermeasure Spoofing, Long Short-Term Memory

Prístupová URL adresa: https://doaj.org/article/2ddbc2433b3a4b8c9d276a65d90205c5

SENTIMENT ANALYSIS ON SPEECH SIGNALS: LEVERAGING MFCC-LSTM TECHNIQUE FOR ENHANCED EMOTIONAL UNDERSTANDING

Autori: Suman Lata Neha Kishore Pardeep Sangwan

Zdroj: Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1391-1402 (2024)

Predmety: 03 medical and health sciences, 0302 clinical medicine, sentiments, speech emotion recognition, mel frequency cepstral coefficients, deep learning, long short-term memory network, TA1-2040, Engineering (General). Civil engineering (General)

Prístupová URL adresa: https://doaj.org/article/aec4c54e6be045d9a5af38f74d55b3e6