Results 91 to 100 of about 3,463 (178)

Speech Emotion Recognition Using Mel-Frequency Cepstral Coefficients

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Abstract—Speech Emotion Recognition (SER) has multiple applications in computational psychology, as well as human- computer interaction, and it also plays a major role in these fields. The accuracy of any machine learning technique is greatly impacted by the extraction as well as the appearance of features.
Dev Ankit Kumar, Er. Disha Sharma, Suraj Kumar, Rishav Kumar, Ambuj Shukla, Amanjeet Kumar   +5 more
openaire   +1 more source

A playback speech detection algorithm based on log inverse Mel-frequency spectral coefficient

Dianxin kexue, 2018
The popularity and portability of high-fidelity audio recording equipment and playback equipment poses a serious challenge for speaker recognition systems against playback attacks.Based on the differences between the original speech and the playback ...
Lang LIN, Rangding WANG, Diqun YAN, Can LI   +3 more
doaj   +2 more sources

A Comparative Investigation of Cepstral Feature Extraction Methods for Deepfake Speech Detection

Applied Sciences
The widespread adoption of voice-based authentication systems has been accompanied by an escalating threat from deep learning-based synthetic speech generation techniques.
Nida Akıncı, Erdal Özbay
doaj   +1 more source

Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features. [PDF]

Comput Math Methods Med, 2015
Eskidere Ö, Gürhanlı A.
europepmc   +1 more source

Voice Recognition and Marking Using Mel-frequency Cepstral Coefficients [PDF]

Sensors and Materials, 2020
Sheu, Jia-Shing, Chen, Ching-Wen
openaire   +1 more source

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

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

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

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