Results 121 to 130 of about 4,142,577 (212)

Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation. [PDF]

Appl Phys B
Saha T, Thomas BP.
europepmc   +1 more source

Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks. [PDF]

Sensors (Basel)
Liu H, Xu Y, Qi Y, Yang H, Bi W.
europepmc   +1 more source

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. [PDF]

PLoS One
Hosseinzadeh M, Haider A, Malik MH, Adeli M, Mzoughi O, Gemeay E, Mohammadi M, Alinejad-Rokny H, Khoshvaght P, Porntaveetus T, Rahmani AM.   +10 more
europepmc   +1 more source

Using cepstral coefficients for Inhalation pause detection in spontaneous speech [Elektronisk resurs]

, 2005
A method for recognizing inhalations in spontaneous speech is presented. It is similar to the template matching technique; a distance measure is calculated between a reference sound and an equally long portion of the same sound being tracked.
Frid, Johan,, Horne, Merle,, Sjöström, Anders,, Lund University.   +3 more
core  

High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices 

, 2020
Dunne R, Morris T, Harper S.
europepmc   +1 more source

Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient

Semesta Teknika, 2017
Human-machine interaction evolves toward a more adaptive and interactive system. There are several media that can be used in human-machine interaction systems, such as voice signals. The process includes converting analog signals into the appropriate meaning, which depend on the noise and reliability of signal characteristic extraction methods. In fact,
openaire   +1 more source

Bridging Temporal and Cepstral Hemodynamic Intelligence: An Adaptive Multi-Domain Feature Fusion Framework for Multi-Class fNIRS Brain-Computer Interfaces. [PDF]

Sensors (Basel)
Saad Bin Abdul Ghaffar M, Ertunç HM, Kaplan K, Kucuk K, Yahya K, Khan SA.   +5 more
europepmc   +1 more source

Non-Invasive Voice-Based Early Detection of Parkinson's Disease via Spectral Feature Analysis and Machine Learning Techniques. [PDF]

Bioengineering (Basel)
Varela-Arellano YO, Soto-Murillo MA, Alcalá-Ramírez V, Villagrana-Bañuelos KE, Salas-Rodriguez LR, Cepeda-Argüelles A, Villagrana-Bañuelos R, Galván-Tejada JI, Arceo-Olague JG, Galván-Tejada CE.   +9 more
europepmc   +1 more source

Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]

Neurol Int
Hossain MA, Traini E, Amenta F.
europepmc   +1 more source

A multimodal feature fusion model integrating voice acoustic features and early key risk factors for early screening of postpartum depression: a prospective short-term longitudinal observational study. [PDF]

Front Public Health
Han X, Yue C, Zhang X, Ji X, Lin S, Chen M, Wang X, Zhang Y, Xu W, Liu Y, Li H.   +10 more
europepmc   +1 more source