Search
Now showing items 1-10 of 18
Genişletilmiş destek vektör makinesi kullanarak yüksek boyutlu ve geniş ölçekli anomali saptama
(Institute of Electrical and Electronics Engineers Inc., 2018)
For multidimensional data, difficult problems are encountered in the anomaly detection process. Unrelated features can hide the presence of anomalies in an indeterminate way. This multidimensional problem, is a serious ...
Özellik vektörlerinde enerji türevleri ile konuşmacı bağımsız Türkçe konuşma tanıma iyileştirmesi
(Institute of Electrical and Electronics Engineers Inc., 2018)
At the recent times, speech recognition applications, which are increasingly used in smart devices, are gaining importance as they perform well on speaker-independent systems. In this study, an increase is obtained in the ...
Pencereleme tekniklerinin konuşma tanıma sistemi için karşılaştırılması
(Institute of Electrical and Electronics Engineers Inc., 2018)
Speech recognition, which provides the ability to manage intelligent devices, aims to improve the prediction skill of these devices by extracting the necessary information from the speech signal. In this study, with ...
Genişletilmiş destek vektör makinesi kullanarak yüksek boyutlu ve geniş ölçekli anomali saptama
(Ieee, 2018)
For multidimensional data, difficult problems are encountered in the anomaly detection process. Unrelated features can hide the presence of anomalies in an indeterminate way. This multidimensional problem, is a serious ...
Pencereleme tekniklerinin konuşma tanıma sistemi için karşılaştırılması
(Ieee, 2018)
Speech recognition, which provides the ability to manage intelligent devices, aims to improve the prediction skill of these devices by extracting the necessary information from the speech signal. In this study, with ...
Sınıf tabanlı n-gram modeli ile Türkçe anlamlı metin üretme
(Ieee, 2018)
Text generation systems provide facilities such as making new information deductions from the existing ones, getting information related to them by going out to a knowledgeable way, and generating more detailed results ...
Metinden konuşma sentezinde yeni bir geliştirme çerçevesi yaklaşımı
(Ieee, 2018)
Text to speech applications are mostly used to extract interaction with the user in high-level multimedia tools. These applications usually produce artificial (robotic) sounds. In this study, instead of synthesizing textual ...
Effects of glow data augmentation on face recognition system based on deep learning
(Institute of Electrical and Electronics Engineers Inc., 2020)
Biometric artificial intelligence application depends on amount of material on which they are trained. In this paper, we integrated Glow data augmentation technique to diversify the facial images dataset to analyze its ...
Özellik vektörlerinde enerji türevleri ile konuşmacı bağımsız Türkçe konuşma tanıma iyileştirmesi
(Ieee, 2018)
At the recent times, speech recognition applications, which are increasingly used in smart devices, are gaining importance as they perform well on speaker-independent systems. In this study, an increase is obtained in the ...
The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
(Institute of Electrical and Electronics Engineers Inc., 2019)
Nowadays, deep learning methods have been used in many areas such as big data analysis, speech and image processing with the increasing processing power and the development of graphics processors. In particular, face ...
