Results 41 to 50 of about 3,448 (162)

High Security and Capacity of Image Steganography for Hiding Human Speech Based on Spatial and Cepstral Domains

ARO-The Scientific Journal of Koya University, 2020
A new technique of hiding a speech signal clip inside a digital color image is proposed in this paper to improve steganography security and loading capacity.
Yazen A. Khaleel
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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features

Доклады Белорусского государственного университета информатики и радиоэлектроники
The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments.
D. V. Krasnoproshin, M. I. Vashkevich
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The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition

, 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
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Robust Speaker Recognition Using Perceptual Stationary Wavelet Coefficients and Prosodic Feature in Noisy Conditions

IEEE Access
Wavelet-based front-ends have been extensively utilized in speech processing systems, particularly for recognizing speech and speakers, and have significantly improved their performance.
Ibrahim Missaoui, Zied Lachiri
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On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems
ABSTRACT 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, Llanos Tobarra, Antonio Robles-Gómez, Rafael Pastor Vargas   +3 more
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Automatic Speaker Recognition Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models [PDF]

Mehran University Research Journal of Engineering and Technology, 2013
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. The paper initially presents the technical description of automatic SR, followed by the comparative analysis of a number of methods available for feature ...
Sheeraz Memon, Sania Bhatti, Farzana Rauf Abro   +2 more
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Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles

Applied Sciences, 2017
Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless.
Juan J. Noda, Carlos M. Travieso, David Sánchez-Rodríguez   +2 more
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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, Saeid Motiian, Gianfranco Doretto   +2 more
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A dual-stream CNN-based ConvMixer for durian ripeness classification using magnitude and phase features from knocking sounds

Results in Engineering
Knocking-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, Khwanjit Orkweha, Watcharakorn Pinthurat, Chaiwat Makhonpas, Wongsathon Pathonsuwan, Patikorn Anchuen, Monthippa Uthansakul, Peerapong Uthansakul   +7 more
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Comparison of cepstral coefficients to other voice evaluation parameters in patients with occupational dysphonia

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, Paweł Strumiłło, Justyna Wiktorowicz, Mariola Śliwińska-Kowalska   +3 more
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