A Novel Methodology to Extract Voice Signal Features

Khawatreh, Saleh A.; Ayyoub, Belal; Abu-Ein, Ashraf; Alqadi, Ziad

doi:10.5120/ijca2018916088

Cited by 27 publications

(32 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the most papular features extraction methods is LBP based method [21], [22], [23], [24], the features will be extracted based on LBP operator and as shown in table 3, by this modified LBP method we can generate a 4 elements features array [11[, [15], [16]for each speech file.…”

Section: Lbp Based Methodsmentioning

confidence: 99%

Evaluation of speech signal features extraction methods

Shayeb

Asad

Alqadi

et al. 2020

J. Appl. Sci. Eng. Technol. Educ.

Self Cite

View full text Add to dashboard Cite

Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.

show abstract

Section: Lbp Based Methodsmentioning

confidence: 99%

Evaluation of speech signal features extraction methods

Shayeb

Asad

Alqadi

et al. 2020

J. Appl. Sci. Eng. Technol. Educ.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To simplify the process of fingerprint identification and make efficient and accurate, we have to represent the fingerprint by a small in size array of features [21[, [22], which can be easily used in the process of identification [14], [15], [16]. Many methods were used to extract image features to be used as an identifier [17], [18], the extracted features must be characterized with the following: The features for each image must be unique to maximize the identification system accuracy. -Must have a small size to reduce the needed memory space.…”

Section: Fig 1 Fingerprint Sample Imagementioning

confidence: 99%

Analysis of fingerprint minutiae to form fingerprint identifier

Alqadi

Abuzalata

Eltous

et al. 2020

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

Detailed human fingerprints, almost unique, are difficult to change and are permanent on an individual's life, making them suitable as long-term signs of human identity. They may be employed by the police or other authorities to identify individuals who wish to conceal their identity, or identify incapacitated or deceased persons and therefore cannot identify them, as in the aftermath of a natural disaster. Fingerprints images are very important data type due to wide applications requiring this type, so extraction a fingerprint identifier is a vital issue.In this paper we will analyse the fingerprints images in order to extract minutiae from the images, these minutiae will be used to construct the fingerprint identifier, the proposed procedure will be implemented and tested to ensure that the procedure generates a simple and unique identifier, which can be easily used to recognize the fingerprint in any recognition system.

show abstract

“…The color digital image [1], [2], [3], [4] is considered one of the most important types of digital data circulating in the Internet and through most of the available social media [5], [6], [7]. In many cases, the digital image can be confidential or be of a personal nature or be carrying some important and confidential information [23], [24], [25] which requires preventing any A third person or entity not authorized to understand the image or know the data therein, not to mention some computer systems that use digital images, and this requires providing an easy way to protect it and not to penetrate the information it carries [8], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2020

International Journal of Advanced Research in Computer and Comm

View full text Add to dashboard Cite

RGB color images are among the most important types of digital data circulating in the Internet and through various social media. RGB color image may contains confidential information, or the signal may be of a personal nature, which requires preventing its understanding from unauthorized entities or persons and therefore this signal must be encrypted. In this paper, we will discuss a new method for encrypting the RGB color images based on adding a random noise and image rearrangement. The method will be run to measure its efficiency and the extent to which it achieves the level of security and protection. The experimental results will be analysed to prove the proposed method efficiency factors.

show abstract

A Novel Methodology to Extract Voice Signal Features

Cited by 27 publications

References 5 publications

Evaluation of speech signal features extraction methods

Evaluation of speech signal features extraction methods

Analysis of fingerprint minutiae to form fingerprint identifier

Untitled

Contact Info

Product

Resources

About