Results 11 to 20 of about 3,617,626 (210)

A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients [PDF]

open access: yesDiagnostyka, 2023
Many countries have adopted a public health approach that aims to address the particular challenges faced during the pandemic Coronavirus disease 2019 (COVID-19).
Elmehdi Benmalek   +3 more
doaj   +2 more sources

Voice authentication module using mel-cepstral coefficients [PDF]

open access: yesВестник Дагестанского государственного технического университета: Технические науки
Objective. The purpose of the study is to develop and apply a method for extracting information about the identity of users from recordings of their voices using the calculation of mel-cepstral coefficients.Method.
D. A. Elizarov   +2 more
doaj   +2 more sources

The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition

open access: yes, 2017
Speech recognition is of an important contribution in promoting new technologies in human computer interaction. Today, there is a growing need to employ speech technology in daily life and business activities. However, speech recognition is a challenging task that requires different stages before obtaining the desired output.
Al-Anzi, Fawaz S., Dia AbuZeina
openaire   +3 more sources

Musical instrument identification using multiscale Mel-frequency cepstral coefficients. [PDF]

open access: yes, 2010
We investigate the benefits of evaluating Mel-frequency cepstral coefficients (MFCCs) over several time scalesin the context of automatic musical instrument identificationfor signals that are monophonic but derived from real musical settings.We define several sets of features derived from MFCCs computed using multiple time resolutions,and compare their
Sturm, Bob L.   +2 more
openaire   +3 more sources

The Use of Mel-frequency Cepstral Coefficients in Musical Instrument Identification.

open access: yes, 2008
This paper examines the use of Mel-frequency Cepstral Coefficients in the classification of musical instruments. 2004 piano, violin and flute samples are analysed to get their coefficients. These coefficients are reduced using principal component analysis and used to train a multi-layered perceptron.
Loughran, Róisín   +3 more
openaire   +3 more sources

Penerapan Metode Mel Frequency Cepstral Coefficients pada Sistem Pengenalan Suara Berbasis Desktop [PDF]

open access: yes, 2023
Teknologi biometrik sedang menjadi tren teknologi dalam berbagai bidang kehidupan. Teknologi biometrik memanfaatkan bagian tubuh manusia sebagai alat ukur sistem yang memiliki keunikan disetiap individu. Suara merupakan bagian tubuh manusia yang memiliki
Islamuddin, Nur   +2 more
core   +1 more source

Linear versus mel frequency cepstral coefficients for speaker recognition [PDF]

open access: yes2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011
Mel-frequency cepstral coefficients (MFCC) have been dominantly used in speaker recognition as well as in speech recognition. However, based on theories in speech production, some speaker characteristics associated with the structure of the vocal tract, particularly the vocal tract length, are reflected more in the high frequency range of speech.
Xinhui Zhou   +4 more
openaire   +2 more sources

Regional language Speech Emotion Detection using Deep Neural Network [PDF]

open access: yesITM Web of Conferences, 2022
Speaking is the most basic and efficient mode of human contact. Emotions assist people in communicating and understanding others’ viewpoints by transmitting sentiments and providing feedback.The basic objective of speech emotion recognition is to enable ...
Padman Sweta, Magare Dhiraj
doaj   +1 more source

Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition

open access: yesArchives of Acoustics, 2018
This paper presents experimental results on whispered speech recognition based on Teager Energy Operator for linear and mel cepstral coefficients including the Cepstral Mean Subtraction normalization technique.
Branko R MARKOVIĆ   +2 more
doaj   +1 more source

Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features

open access: yesBioengineering, 2023
The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen   +8 more
doaj   +1 more source

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