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Voice applications often require the ability to make user-friendly responses by judging the user or user-type from an extremely short utterance, such as a single word. However, it is assumed that performance becomes degraded as the utterance length decreases. In this paper, we examine the performance of speaker identification for extremely short utterances of less than two seconds and then study the...
Clinical research registries need to be driven by data quality to improve the outcome of clinical trials and to provide the possibility to facilitate new research initiatives. The International Niemann-Pick Disease Registry (INPDR) is one such example of a clinical research registry. Unlike other registries where data quality is largely based around best effort manual data entry, the INPDR registry...
Educational systems of IT-companies typically provide a network space in which students and teachers can come together for teaching and learning. Using the microservice architecture offers advantages in application development.
For i-vector model, normalization approach is Probabilistic linear discriminant analysis and has a significant performance for verification of speaker. However it requires a huge development data which cost a lot in many cases. Unsupervised adaption method is a possible approach, which use unlabeled data to adapt PLDA scattering matrices to the target domain. In this paper, ‘local training’ approach...
In the traditional concept, to become a professional cartoonist, need to accept a long time of painting training and implementation, and in the screen and the role and script design, the need to have a certain degree of imagination or talent, with these related Of the creative ability to create a fascinating comic works, this is not an easy thing.
Offline Arabic handwriting recognition has been a challenging sequence modeling problem due to the cursive nature of Arabic script. This paper proposes a four-layer bidirectional Gated Recurrent Unit (GRU) network incorporated with dropout mechanism, which improves the model capacity and the generalization ability compared with a baseline system of a three-layer Long Short Term Memory (LSTM) network...
A comprehensive Arabic handwritten text database is an important resource for Arabic handwritten text recognition research. It is essential for training text recognition algorithms and vital for evaluating the performance of these algorithms. In this paper, we present a database that includes manuscripts from the Islamic heritage project (IHP), consisting of 333 historical manuscripts written by 302...
This paper presents a comparative study of four steganalysis techniques for speech/audio files. The Mel-Frequency Cepstral Coefficients (MFCCs) are used for the acoustical analysis of the audio files. The following steganalyzers are assessed: Support Vector Machines (SVMs), Gaussian Mixture Models (GMMs), Deep Belief Networks (DBNs) and Recurrent Neural Networks (RNNs). These steganalysis methods...
The Kinship Face in the Wild data sets, recently published in TPAMI, are currently used as a benchmark for the evaluation of kinship verification algorithms. We recommend that these data sets are no longer used in kinship verification research unless there is a compelling reason that takes into account the nature of the images. We note that most of the image kinship pairs are cropped from the same...
The success of the deep learning and specifically learning layer by layer led to many impressive results in several contexts that include neural network. This gave us the idea to apply this principle of learning on wavelet network because it is an active research topic at the moment. This paper present our approach for image classification by the combination of two techniques of learning: the wavelet...
Rapid advances in web-based technologies and infrastructure are forcing change in the learning community. This study applies the Quality Matters (QM) Rubric (UoD synchronous template) to the LMS (Blackboard) used by 14 faculty members, applied to 14 courses, and directed to 348 students in Dammam Community College in accordance with a supporting eLearning ecosystem environment, applying John Keller's...
Sparse representation classifier (SRC) is a classical method for classification, which was proposed in 2009. SRC method boosted the research of sparse representation, based on SRC, many other new methods were also proposed, such as structured-sparse representation, collaborative representation optimized classifier (CROC), deformable sparse recovery and classification (DSRC) method, misalignment robust...
Effective image prior is a key factor for successful image denoising. Existing learning-based priors require a large collection of images for training. Besides being computationally expensive, these training images do not necessarily correspond to the noisy image of interest. In this paper, we propose an adaptive learning procedure for learning image patch priors. The new algorithm, called the Expectation-Maximization...
Design a software system on smart phone platform. The purpose of this system is providing a reasonable method to evaluate the English accent of non-native speakers, based on the phoneme recognition and fluency assessment, taking advantage of Hidden Markov Model (HMM). Meanwhile, this paper would use the neural net algorithm to combine the objective scoring and experts' scoring to increase the accuracy...
The problem of blind estimation of the room acoustic clarity index C50 from single-channel reverberant speech signals is presented in this paper. We analyze the performance of several machine learning methods for a regression task using 309 features derived from the speech signal and modeled with a Deep Belief Network (DBN), Classification And Regression Tree (CART) and Linear Regression (LR). These...
The second cause of the death among women arises due to breast cancer that affects the breast tissues. The efficient prognosis way of breast cancer is processed with the aid of mammogram images. The proposed mammogram classification system improves the diagnosis and early detection of breast cancer by using mammogram images. It helps radiologists to diagnose cancer accurately. MIAS database images...
Automatic facial point detection plays arguably the most important role in face analysis. Several methods have been proposed which reported their results on databases of both constrained and unconstrained conditions. Most of these databases provide annotations with different mark-ups and in some cases the are problems related to the accuracy of the fiducial points. The aforementioned issues as well...
Image level fusion combines an image in different ways with its original version so that the combine image may contain more relevant information than the original one. This paper presents a novel method for face recognition by fusing original and corresponding diagonal images. Two ways of image fusion technique have been performed here. Firstly, we generate diagonal face image from original face image...
Decoding protein-DNA interactions is important to understanding gene regulation and has been investigated by worldwide scientists for a long time. However, many aspects of the interactions still need to be uncovered. The crystal structures of protein-DNA complexes reveal detailed atomic interactions between the proteins and DNA and are an excellent resource for investigating the interactions. In this...
In the work, an example-based method of touching string segmentation is proposed. Using Markov random field, the candidate patches based on the compatibility of the neighbour patches are selected. The outputs of the MRF after the iterative belief propagation form a segmentation probability map. The cut position is extracted from the map. Experiment results are presented and demonstrate the effectiveness...
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