Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. [PDF]
Hosseinzadeh M +10 more
europepmc +1 more source
Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient
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
MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND SPECTRUM BASED ADDITIONAL FEATURES IN AUTOMATIC SPEAKER RECOGNITION [PDF]
The efficiency of the proposed automatic speaker recognizer is evaluated using two speech databases. The feature vector consists of 21 mel-frequency cepstral coefficients (MFCCs), along with up to three additional features derived from the amplitude ...
Delić, Vlado +3 more
core +1 more source
Machine Learning Approaches to Early Detection of Parkinson's Disease Using Speech Analysis Technique. [PDF]
Hossain MA, Traini E, Amenta F.
europepmc +1 more source
Firearm classification from acoustic signals using combined mel spectrogram, MFCC, LFCC, and CRNN networks. [PDF]
Elkarous L, Jeridi MH, Dhouibi M.
europepmc +1 more source
Measurement Method for Mold Slag Thickness in Continuous Casting Mold Using Millimeter-Wave Radar and Eddy Current Sensors. [PDF]
An Y, Wang Z, Xiao J.
europepmc +1 more source
Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review. [PDF]
Ebraheem M +4 more
europepmc +1 more source
MEL-FREQUENCY CEPSTRAL COEFFICIENTS FOR SPEAKER RECOGNITION : A REVIEW
openaire +1 more source
Classification of Speech and Associated EEG Responses from Normal-Hearing and Cochlear Implant Talkers Using Support Vector Machines. [PDF]
Raghavendra S, Lee S, Tan CT.
europepmc +1 more source

