Results 51 to 60 of about 3,683 (159)
Multilingual Speaker Identification by Combining Evidence from LPR and Multitaper MFCC
Journal of Intelligent Systems, 2013 In this work, the significance of combining the evidence from multitaper mel-frequency cepstral coefficients (MFCC), linear prediction residual (LPR), and linear prediction residual phase (LPRP) features for multilingual speaker identification with the ...
Nagaraja B.G., Jayanna H.S.
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Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients. [PDF]
PeerJ Comput Sci, 2023 Hernández-Nava CA +5 more
europepmc +1 more source
MEL-FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) FEATURE FOR PUMP ANOMALY DETECTION IN NOISY ENVIRONMENTS
Rekayasa MesinThe continuity of a production process is supported by the availability of good assets. One of the efforts to support asset availability is through asset maintenance. One of the important assets in the industry is the pump. To detect anomalous conditions
Anindita Adikaputri Vinaya +1 more
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ARO-The Scientific Journal of Koya UniversityDetecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time.
Arsalan R. Mirza +1 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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Leveraging MFCC and Mel-Spectrogram Representations for Deep Learning-Based Speech Recognition
Engineering ProceedingsThis work propose an audio feature pipeline to support machine learning tasks through the extraction of the Mel Frequency Cepstral Coefficients and Mel-spectrogram which is then used as the input of an Convolutional Neural Network which is trained to ...
Jose Antonio Lopez-Olvera +3 more
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The Use of Mel-frequency Cepstral Coefficients in Musical Instrument Identification.
, 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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Emotion Recognition of Speech Signals Based on Filter Methods [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2016 Speech is the basic mean of communication among human beings.With the increase of transaction between human and machine, necessity of automatic dialogue and removing human factor has been considered.
Narjes Yazdanian, Hamid Mahmoodian
doaj
A robust deep learning model for fall action detection using healthcare wearable sensors [PDF]
PeerJ Computer ScienceThe proposed technique begins with Butterworth’s sixth-order filtering of the data followed by segmentation through Hamming window application. The identification of essential patterns is achieved through the utilization of feature extraction methods ...
Abdulwahab Alazeb +6 more
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IEEE AccessIn recent years, the growing importance of personal data security has led to a rapid increase in demand for biometric authentication systems. This study proposes a biometric authentication method based on electrocardiogram (ECG) data that holds potential
F. Saba Kockan, Bulent Bolat
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