A cough-based Covid-19 detection with gammatone and mel-frequency cepstral coefficients [PDF]
Diagnostyka, 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]
Вестник Дагестанского государственного технического университета: Технические наукиObjective. 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 +3 more sources
Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition [PDF]
Archives 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 +2 more sources
On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection
Expert SystemsABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods.
Sergio A. Falcón-López +3 more
openaire +3 more sources
The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition [PDF]
, 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
Mel Frequency Cepstral Coefficients: An Evaluation Of Robustness Of Mp3 Encoded Music. [PDF]
, 2006 [TODO] Add abstract here.
Sigurdsson, Sigurdur +2 more
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Musical instrument identification using multiscale Mel-frequency cepstral coefficients. [PDF]
, 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
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The Use of Mel-frequency Cepstral Coefficients in Musical Instrument Identification. [PDF]
, 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
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Penerapan Metode Mel Frequency Cepstral Coefficients pada Sistem Pengenalan Suara Berbasis Desktop [PDF]
, 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 +2 more sources
Normal distribution analysis (mean±std) of the combined mel-frequency cepstral coefficients (MFCCs) using the shallow breathing dataset. [PDF]
, 2022 Normal distribution analysis (mean±std) of the combined mel-frequency cepstral coefficients (MFCCs) using the shallow breathing dataset.
Mohanad Alkhodari (11944473) +1 more
core +1 more source