Results 111 to 120 of about 3,633,480 (246)
Automated classification of vowel category and speaker type in the high-frequency spectrum
Audiology Research, 2016 The high-frequency region of vowel signals (above the third formant or F3) has received little research attention. Recent evidence, however, has documented the perceptual utility of high-frequency information in the speech signal above the traditional ...
Jeremy J. Donai +2 more
doaj +1 more source
Construction and Application of GAN Enhanced Virtual Interpretation Model for Sports Communication
Engineering Reports, Volume 8, Issue 6, June 2026.This model is an end‐to‐end framework. Firstly, the style‐based generation network Style‐based GAN2 (StyleGAN2) is used to generate a highly realistic and adjustable static narrator portrait. Then, Bi‐directional Long Short‐Term Memory (Bi‐LSTM) is used to encode the Mel‐frequency Cepstral Coefficients (MFCCs), phonemes, and prosodic features of the ...
Li Zhang +3 more
wiley +1 more source
Results in EngineeringKnocking-sound analysis provides a non-destructive method for assessing durian ripeness; however, most convolutional neural network methods mainly emphasize magnitude information while disregarding phase information that reflects the overall signal ...
Khomdet Phapatanaburi +7 more
doaj +1 more source
Medycyna Pracy, 2013 Background: Special consideration has recently been given to cepstral analysis with mel-frequency cepstral coefficients (MFCCs). The aim of this study was to assess the applicability of MFCCs in acoustic analysis for diagnosing occupational dysphonia in ...
Ewa Niebudek-Bogusz +3 more
doaj +1 more source
Use of Mel Frequency Cepstral Coefficients for Automatic Pathology Detection on Sustained Vowel Phonations: Mathematical and Statistical Justification [PDF]
, 2008 This paper presents a justification for the use of MFCC parameters in automatic pathology detection on speech. While such an application has produced good results up to now, only partial explanations to this good performance had been given before.
Sáenz Lechón, Nicolas +4 more
core
Cepstral Coefficients Effectiveness for Gunshot Classifying [PDF]
This paper analyses the efficiency of various frequency cepstral coefficients (fCC) in a non-speech application, specifically in classifying acoustic impulse events - gunshots. There are various methods for such event identification available.
Holub J., Svatoš J.
core +1 more source
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.
doaj +1 more source
, 2017 Identification of voice signals can be used to command a computer system. Identification can be made of voice owner and spoken word. Identification of voice owner is used for security, while spoken word identification is often used to execute command on ...
Munggaran, Angga Kersana +2 more
core
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
doaj +1 more source