Youssef Elmir | Bechar - Academia.edu (original) (raw)

Papers by Youssef Elmir

A Study on Automatic Speech Recognition, 2019

Speech is an easy and usable technique of communication between humans, but nowadays humans are n... more Speech is an easy and usable technique of communication between humans, but nowadays humans are not limited to connecting to each other but even to the different machines in our lives. The most important is the computer. So, this communication technique can be used between computers and humans. This interaction is done through interfaces, this area called Human Computer Interaction (HCI). This paper gives an overview of the main definitions of Automatic Speech Recognition (ASR) which is an important domain of artificial intelligence and which should be taken into account during any related research (Type of speech, vocabulary size... etc.). It also gives a summary of important research relevant to speech processing in the few last years, with a general idea of our proposal that could be considered as a contribution in this area of research and by giving a conclusion referring to certain enhancements that could be in the future works.

2021 International Conference on Information Systems and Advanced Technologies (ICISAT)

Neural Network are one of the artificial intelligence techniques. Work of the neural network insp... more Neural Network are one of the artificial intelligence techniques. Work of the neural network inspired by biological neural networks and have applied in many fields, the most important of which is the communication between the computers and humans (Human-Computer Interaction) naturally and simple such as speech or gesture communication etc. In this article, we present an overview of automatic speech recognition by neural networks. We start with the history of neural networks. Then will present some recent research, their results, and the techniques used and conclude with a discussion of this research with the illustration of the intelligent interface model that depends on neural networks.

2021 International Conference on Information Systems and Advanced Technologies (ICISAT)

Neural Network are one of the artificial intelligence techniques. Work of the neural network insp... more Neural Network are one of the artificial intelligence techniques. Work of the neural network inspired by biological neural networks and have applied in many fields, the most important of which is the communication between the computers and humans (Human-Computer Interaction) naturally and simple such as speech or gesture communication etc. In this article, we present an overview of automatic speech recognition by neural networks. We start with the history of neural networks. Then will present some recent research, their results, and the techniques used and conclude with a discussion of this research with the illustration of the intelligent interface model that depends on neural networks.

Arabian Journal for Science and Engineering

arXiv (Cornell University), Jul 25, 2023

2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)

The Journal of Supercomputing

Artificial Intelligence in Renewable Energetic Systems, 2018

As one of artificial intelligence technologies, Artificial Neural Networks (ANNs) are widely used... more As one of artificial intelligence technologies, Artificial Neural Networks (ANNs) are widely used as an alternative solution for ill-defined problems. Training using examples make it possible to deal with noisy and replace missed data. Nonlinear problems can be solved using artificial neural networks and, once trained, forecasting.

Lecture notes in networks and systems, Nov 25, 2021

A Study on Automatic Speech Recognition, 2019

Speech is an easy and usable technique of communication between humans, but nowadays humans are n... more Speech is an easy and usable technique of communication between humans, but nowadays humans are not limited to connecting to each other but even to the different machines in our lives. The most important is the computer. So, this communication technique can be used between computers and humans. This interaction is done through interfaces, this area called Human Computer Interaction (HCI). This paper gives an overview of the main definitions of Automatic Speech Recognition (ASR) which is an important domain of artificial intelligence and which should be taken into account during any related research (Type of speech, vocabulary size... etc.). It also gives a summary of important research relevant to speech processing in the few last years, with a general idea of our proposal that could be considered as a contribution in this area of research and by giving a conclusion referring to certain enhancements that could be in the future works.

Artificial Intelligence and Renewables Towards an Energy Transition, 2020

Lecture Notes in Computer Science, 2012

Face and signature based multimodal biometric systems are often required in various areas, such a... more Face and signature based multimodal biometric systems are often required in various areas, such as banking biometric systems and secured mobile phone operating systems, among others. Our system combines these two biometric traits and provides better recognition performance compared with the systems based on a single biometric trait or modality. In multimodal biometric system, the most common fusion approach is integration at the matching score level because of the ease of combining and accessing the scores ...

Journal of Information Processing Systems, 2014

Qatar Foundation Annual Research Forum Proceedings, 2012

Background and Objectives: There is high requirement of face and signature based multimodal biome... more Background and Objectives: There is high requirement of face and signature based multimodal biometric systems in various areas, such as banking, biometric systems and secured mobile phone operating systems. Few studies have been carried out in this area to enhance the performance of identification and authentication based on the fusion of those modalities. In multimodal biometric systems, the most common fusion approach is integration at the matching score level, but it is necessary to compare this strategy of fusion to the other strategies, like fusion at feature level. Our system combines these two biometric traits and provides better recognition performance compared with single biometric systems. Multimodal Authentication Systems: The first monomodal verification system is based on face verification using Gabor filters for feature extraction. The second system is based on online signature verification using Nalwa's method. The classification is released using the Cosine Mahal...

Score level fusion based multimodal biometric identification

National Study Day on Research on Computer Sciences, 2019

This work is released in biometric field and has as goal, development of a full automatic fingerp... more This work is released in biometric field and has as goal, development of a full automatic fingerprint identification system using methods which have been tested in LAMOSI laboratory. Promising Results of first experiences pushed us to continue the exploitation of new version of Neural Networks (Spike Neural Networks) and to develop codification and recognition algorithms which are specifically associated to this system. In this context, works were consecrated on algorithm developing of the original image processing, minutiae and singular points localization; Gabor filters coding and testing these algorithms on well known databases which are: FVC2004 databases & FingerCell database. Performance Evaluating has proved that Spike neural network achieved a good recognition rate closer to rates achieved by other methods in a very short time and this make it more useful in online applications.

This work is released in biometric field and has as goal, development of a full automatic fingerp... more This work is released in biometric field and has as goal, development of a full automatic fingerprint identification system using methods which have been tested in LAMOSI laboratory. Promising Results of first experiences using radial basis function neural network and support vector machine pushed us to continue the exploitation of new version of neural networks which is spike neural networks and to develop codification and recognition algorithms which are specifically associated to this system. In this context, works were consecrated on algorithm developing of the original image processing, minutiae and singular points localization; Gabor filters coding and testing these algorithms on well known databases such as: FVC2004 databases & FingerCell database. Performance Evaluating has proved that spike neural network achieved a good recognition rate closer to rates achieved by other methods but in a very short time and this make it more useful in online applications.

A Study on Automatic Speech Recognition, 2019

Speech is an easy and usable technique of communication between humans, but nowadays humans are n... more Speech is an easy and usable technique of communication between humans, but nowadays humans are not limited to connecting to each other but even to the different machines in our lives. The most important is the computer. So, this communication technique can be used between computers and humans. This interaction is done through interfaces, this area called Human Computer Interaction (HCI). This paper gives an overview of the main definitions of Automatic Speech Recognition (ASR) which is an important domain of artificial intelligence and which should be taken into account during any related research (Type of speech, vocabulary size... etc.). It also gives a summary of important research relevant to speech processing in the few last years, with a general idea of our proposal that could be considered as a contribution in this area of research and by giving a conclusion referring to certain enhancements that could be in the future works.

2021 International Conference on Information Systems and Advanced Technologies (ICISAT)

Neural Network are one of the artificial intelligence techniques. Work of the neural network insp... more Neural Network are one of the artificial intelligence techniques. Work of the neural network inspired by biological neural networks and have applied in many fields, the most important of which is the communication between the computers and humans (Human-Computer Interaction) naturally and simple such as speech or gesture communication etc. In this article, we present an overview of automatic speech recognition by neural networks. We start with the history of neural networks. Then will present some recent research, their results, and the techniques used and conclude with a discussion of this research with the illustration of the intelligent interface model that depends on neural networks.

2021 International Conference on Information Systems and Advanced Technologies (ICISAT)

Neural Network are one of the artificial intelligence techniques. Work of the neural network insp... more Neural Network are one of the artificial intelligence techniques. Work of the neural network inspired by biological neural networks and have applied in many fields, the most important of which is the communication between the computers and humans (Human-Computer Interaction) naturally and simple such as speech or gesture communication etc. In this article, we present an overview of automatic speech recognition by neural networks. We start with the history of neural networks. Then will present some recent research, their results, and the techniques used and conclude with a discussion of this research with the illustration of the intelligent interface model that depends on neural networks.

Arabian Journal for Science and Engineering

arXiv (Cornell University), Jul 25, 2023

2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)

The Journal of Supercomputing

Artificial Intelligence in Renewable Energetic Systems, 2018

As one of artificial intelligence technologies, Artificial Neural Networks (ANNs) are widely used... more As one of artificial intelligence technologies, Artificial Neural Networks (ANNs) are widely used as an alternative solution for ill-defined problems. Training using examples make it possible to deal with noisy and replace missed data. Nonlinear problems can be solved using artificial neural networks and, once trained, forecasting.

Lecture notes in networks and systems, Nov 25, 2021

A Study on Automatic Speech Recognition, 2019

Speech is an easy and usable technique of communication between humans, but nowadays humans are n... more Speech is an easy and usable technique of communication between humans, but nowadays humans are not limited to connecting to each other but even to the different machines in our lives. The most important is the computer. So, this communication technique can be used between computers and humans. This interaction is done through interfaces, this area called Human Computer Interaction (HCI). This paper gives an overview of the main definitions of Automatic Speech Recognition (ASR) which is an important domain of artificial intelligence and which should be taken into account during any related research (Type of speech, vocabulary size... etc.). It also gives a summary of important research relevant to speech processing in the few last years, with a general idea of our proposal that could be considered as a contribution in this area of research and by giving a conclusion referring to certain enhancements that could be in the future works.

Artificial Intelligence and Renewables Towards an Energy Transition, 2020

Lecture Notes in Computer Science, 2012

Face and signature based multimodal biometric systems are often required in various areas, such a... more Face and signature based multimodal biometric systems are often required in various areas, such as banking biometric systems and secured mobile phone operating systems, among others. Our system combines these two biometric traits and provides better recognition performance compared with the systems based on a single biometric trait or modality. In multimodal biometric system, the most common fusion approach is integration at the matching score level because of the ease of combining and accessing the scores ...

Journal of Information Processing Systems, 2014

Qatar Foundation Annual Research Forum Proceedings, 2012

Background and Objectives: There is high requirement of face and signature based multimodal biome... more Background and Objectives: There is high requirement of face and signature based multimodal biometric systems in various areas, such as banking, biometric systems and secured mobile phone operating systems. Few studies have been carried out in this area to enhance the performance of identification and authentication based on the fusion of those modalities. In multimodal biometric systems, the most common fusion approach is integration at the matching score level, but it is necessary to compare this strategy of fusion to the other strategies, like fusion at feature level. Our system combines these two biometric traits and provides better recognition performance compared with single biometric systems. Multimodal Authentication Systems: The first monomodal verification system is based on face verification using Gabor filters for feature extraction. The second system is based on online signature verification using Nalwa's method. The classification is released using the Cosine Mahal...

Score level fusion based multimodal biometric identification

National Study Day on Research on Computer Sciences, 2019

This work is released in biometric field and has as goal, development of a full automatic fingerp... more This work is released in biometric field and has as goal, development of a full automatic fingerprint identification system using methods which have been tested in LAMOSI laboratory. Promising Results of first experiences pushed us to continue the exploitation of new version of Neural Networks (Spike Neural Networks) and to develop codification and recognition algorithms which are specifically associated to this system. In this context, works were consecrated on algorithm developing of the original image processing, minutiae and singular points localization; Gabor filters coding and testing these algorithms on well known databases which are: FVC2004 databases & FingerCell database. Performance Evaluating has proved that Spike neural network achieved a good recognition rate closer to rates achieved by other methods in a very short time and this make it more useful in online applications.

This work is released in biometric field and has as goal, development of a full automatic fingerp... more This work is released in biometric field and has as goal, development of a full automatic fingerprint identification system using methods which have been tested in LAMOSI laboratory. Promising Results of first experiences using radial basis function neural network and support vector machine pushed us to continue the exploitation of new version of neural networks which is spike neural networks and to develop codification and recognition algorithms which are specifically associated to this system. In this context, works were consecrated on algorithm developing of the original image processing, minutiae and singular points localization; Gabor filters coding and testing these algorithms on well known databases such as: FVC2004 databases & FingerCell database. Performance Evaluating has proved that spike neural network achieved a good recognition rate closer to rates achieved by other methods but in a very short time and this make it more useful in online applications.