Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Khashayar Yaghmaie"'
Autor:
Ali Harimi, Khashayar Yaghmaie
Publikováno v:
مجله مدل سازی در مهندسی, Vol 15, Iss 48, Pp 183-200 (2017)
Speech emotion recognition is a relatively new field of research that could plays an important role in man-machine interaction. In this paper we use from two new spectral features for the automatic recognition of human affective information from spee
Externí odkaz:
https://doaj.org/article/10d1373ab0714fc6be3ba8557e770bef
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 2, Iss 1, Pp 53-61 (2014)
Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we
Externí odkaz:
https://doaj.org/article/01edf57fe3b143d7a97b60f8beeec371
Publikováno v:
Signal Processing. 111:274-293
Local Binary Pattern (LBP) is an effective image descriptor based on joint distribution of signed gray level differences. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are main properties of LBP. Ho
Publikováno v:
Multimedia Tools and Applications. 75:4639-4667
Perceptual image hashing finds increasing attention in several multimedia security applications such as image identification/authentication, tamper detection, and watermarking. Robust feature extraction is the main challenge in hashing schemes. Local
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 23:2056-2073
Publikováno v:
Forensic Science International. 231:61-72
Copy-move forgery is one of the most popular tampering artifacts in digital images. In this paper, we present an efficient method for copy-move forgery detection using Multiresolution Local Binary Patterns (MLBP). The proposed method is robust to geo
Publikováno v:
AEU - International Journal of Electronics and Communications. 65:658-663
A hybrid robust digital watermarking algorithm based on finite Radon transform (FRAT) and Singular Value Decomposition (SVD) is proposed and simulated. The Discrete Wavelet Transform (DWT) is popularly used as it possesses properties similar to the h
Autor:
Khashayar Yaghmaie, Hamed Talea
Publikováno v:
2011 IEEE 3rd International Conference on Communication Software and Networks.
Speech recognition techniques which rely on audio features of speech degrade in performance in noisy environments. Visual Speech Recognition helps this by incorporating a visual signal into the recognition process. The performance of automatic speech
Autor:
Hamed Talea, Khashayar Yaghmaie
Publikováno v:
2011 IEEE 3rd International Conference on Communication Software and Networks.
Automatic speech recognition (ASR) performs well under restricted conditions. Lipreading is a main part of audio-visual speech recognition systems and an accurate algorithm for lip detection and motion tracking helps to improve the recognition rate e
Publikováno v:
2010 6th Iranian Conference on Machine Vision and Image Processing.
In this paper, a new halftone image watermarking is presented based on digital wavelet transform combined with singular value decomposition technique. Halftoning is the process of representing grayscale images using just black and white i.e. binary l