Results 61 to 70 of about 3,633,480 (246)

Crack detection based on mel-frequency cepstral coefficients features using multiple classifiers

International Journal of Electrical and Computer Engineering (IJECE)
Crack detection plays an essential role in evaluating the strength of structures. In recent years, the use of machine learning and deep learning techniques combined with computer vision has emerged to assess the strength of structures and detect cracks ...
Muneera Altayeb, Areen M. Arabiat
semanticscholar   +1 more source

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

Proceedings on Engineering Sciences
The analysis of emotions expressed in spoken language holds a pivotal role in human communication, artificial intelligence, and human-computer interaction. While emotion recognition in text has seen considerable advancements, recognizing emotional states
Suman Lata , Neha Kishore , Pardeep Sangwan   +2 more
doaj   +1 more source

Wind Turbine Gearbox Early Fault Detection Using Mel‐Frequency Cepstral Coefficients of Vibration Data

Structural Control & Health Monitoring
A methodology utilizing vibration data and Mel‐frequency cepstral coefficients (MFCCs) for wind turbine condition monitoring is developed to detect incipient faults in the wind turbine gearbox.
C. Velandia-Cárdenas, Y. Vidal, Francesc Pozo   +2 more
semanticscholar   +1 more source

Automatic Detection of Laryngeal Pathology on Sustained Vowels Using Short-Term Cepstral Parameters: Analysis of Performance and Theoretical Justification [PDF]

, 2008
The majority of speech signal analysis procedures for automatic detection of laryngeal pathologies mainly rely on parameters extracted from time domain processing.
Juan Ignacio Godino-Llorente, Víctor Osma-Ruiz, Sáenz Lechón, Nicolas, Fraile Muñoz, Rubén, Nicolás Sáenz-Lechón, Gómez Vilda, Pedro, Pedro Gómez-Vilda, Godino Llorente, Juan Ignacio, Rubén Fraile, Osma Ruiz, Víctor   +9 more
core   +1 more source

Spoken Digit Recognition using the k-Nearest-Neighbor method and Mel Frequency Cepstral Coefficients [PDF]

Informatică economică
This study investigates the utilization of the k-nearest-neighbor algorithm within the framework of machine learning for speech recognition applications. The AudioMNIST dataset is used for performing the evaluations in which the model predicts the spoken
Sorin MURARU, Catalina Lucia COCIANU
doaj   +1 more source

Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.

, 2014
Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.
Chandra Sekhar Seelamantula (531536), P. V. D. S. Sundeep (531535), Rohini Balakrishnan (463161), Samira Agnihotri (531534)   +3 more
core   +1 more source

Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

Applied Sciences
Compressors and pumps are machines frequently used in petroleum and chemical industries for fluid transportation through flow systems to keep industrial processes running permanently.
Diego Cabrera, Rubén Medina, Mariela Cerrada, René-Vinicio Sánchez, Edgar Estupiñan, Chuan Li   +5 more
semanticscholar   +1 more source

Speech Emotion Recognition Using Cepstral Features Extracted With Gammatone Filter Banks Realized Based on ERB and Mel Frequency Scales

IEEE Access
Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER systems. Among these, Mel-frequency cepstral coefficients (MFCC)
Nagarajan Sugan, Lakshmi Sutha Kumar, Nettimi Satya Sai Srinivas   +2 more
doaj   +1 more source

Automatic Cough Detection from Audio Signals Using Deep Learning and Hybrid CNN–SVM Models [PDF]

EPJ Web of Conferences
Coughing is a natural physiological reflex that helps maintain respiratory health by clearing the airways of irritants, fluids, and pathogens. It also serves as a key clinical indicator for various respiratory conditions, including asthma, infections ...
Barkani Fatima, Hamidi Mohamed, Satori Hassan   +2 more
doaj   +1 more source

Mel Frequency Cepstral Coefficient: A Review [PDF]

Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India, 2021
Shalbbya Ali, Safdar Tanweer, Syed Khalid, Naseem Rao   +3 more
openaire   +1 more source