Esra Jasem

• University of Basrah

In this research, different audio feature extraction techniques are implemented and classification approaches are presented to classify seven types of wind. We applied features techniques such as Zero Crossing Rate (ZCR), Fast Fourier Transformation (FFT), Linear predictive coding (LPC), and Perceptual Linear Prediction (PLP). We know that some of...

Hand gesture recognition is one of the most effective ways of human interaction with a computer and it is also an important field in computer vision and machine learning. This theme enables many applications by allowing users to communicate the interfaces of different systems, without the need for additional hardware. That is, the primary goal of g...

Automatic Face recognition (AFR) is an important research topic in pattern recognition field where there are many subjects in this area. In this research, we focused on the problem of features extraction by using: PCA and LDA and kernel-based methods are kernel PCA (KPCA) and kernel LDA(KDA). We are trying here to get to that these methods have the...

Recently the advancement of technology has led to develop human activities recognition (HAR) system in video. HAR system is one of the important fields in computer vision (CV). This paper presents a system for helping people who suffer from health problems and are stayed alone for long times especially the elderly, by recognizing three normal activ...

Recently the advancement of technology has led to develop human activities recognition (HAR) system in video. HAR system is one of the important fields in computer vision (CV) . This paper presents a system for helping people who suffer from health problems and are stayed alone for long times especially the elderly , by recognizing three normal act...

Recently the advancement of technology has led to develop human activities recognition (HAR) system in video. HAR system is one of the important fields in computer vision (CV). This paper presents a system for helping people who suffer from health problems and are stayed alone for long times especially the elderly , by recognizing three normal acti...

The advancement of technology in recent years led to the development the human activities recognition (HAR) system in video . This type of system is one of an important areas for computer vision (CV) .This paper presents a system to help people who are suffered from a health problem and are stayed alone for long times especially the elderly ,...

The most important challenges in AVSR and the focus of most research are the features that are extracted, and when combined give better results. The other challenge is the resulted feature here of nature are large in size, then prefers here to reduce the features by use of an appropriate way to reduce these data with ensure have their properties af...

Automatic Dialect classification (ADC) is represented important new part in automatic speech recognition (ASR). In this paper an automatic Dialect classification to independent system for Arabic languages is presented. The speakers of this system are from some Arabic countries: Egyptian, Iraq, Levantine and Kuwait, where each speaker speaks clip fr...

Phoneme Speech segmentation is an important task in more speech sound processing applications. In this work uses k-mean algorithm to segment speech word sound to its phonemes .We are run k-means to separate between vowel regions and another the consonant regions in the input word signal. Then the segments points between vowel phoneme and consonant...

Heart disease is cause more health problem to the humane and may be lead of death. Then in this paper, we propose novel techniques for heart disease classification using Eigenvector technique and feature parameter extraction based on MFCC. Eigenvector approach is seemed to be an adequate method to be used in recognition due to its simplicity, speed...