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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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
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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Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features:A Theoretically Consistent Approach [PDF]
, 2015 In this work we consider the problem of feature enhancement for noise-robust automatic speech recognition (ASR). We propose a method for minimum mean-square error (MMSE) estimation of mel-frequency cepstral features, which is based on a minimum number of
Tan, Zheng-Hua; id_orcid, Jensen, Jesper
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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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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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Analysis of mel-frequency cepstral coefficients as features used for automatic speaker recognition [PDF]
, 2014 Рад је окренут ка анализи мел-фреквенцијских кепстралних коефицијената као обележја говорника која се користе при аутоматском препознавању говорника. Испитан је утицај промене облика чујних критичних опсега као и модификације енергије у њима на тачност ...
Jokić, Ivan
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Speech synthesis using Mel-Cepstral coefficient feature [PDF]
, 2018 This thesis presents a method to improve quality of synthesized speech by reducing the vocoded effect. The synthesis model takes mel-cepstral coefficients and spectrum envelopes as features of the original speech waveform. Mel-cepstral coefficients could
Wang, Lu
core
Fuzzy logic system for abnormal audio event detection using mel frequency cepstral coefficients [PDF]
, 2017 This paper presents a fuzzy logic system for audio event detection using mel frequency cepstral coefficients (MFCC). Twelve MFCC of audio samples were analyzed. The range of values of MFCC were obtained including its histogram.
Dadula, Cristina P., Dadios, Elmer P.
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