Isolated and connected digit recognition system for Turkish

Haydar, Ali


Isolated word recognition using time-delay neural networks
Alim, Alp; Yalabık, Neşe; Department of Computer Engineering (1991)
Multiple target localization & data association for frequency-only widely separated MIMO radar
Kalkan, Yilmaz; Baykal, Buyurman (Elsevier BV, 2014-02-01)
The multiple target localization using only Doppler frequencies in Multiple-Input Multiple-Output (MIMO) radar is a problem of great interest. The Doppler frequencies include all relevant information about the location, velocity and direction of the targets. Hence, these frequencies can be used efficiently for data association and target localization. The MIMO configuration and the frequency diversity of the system enable us to easily determine the number of moving targets using only the Doppler frequencies...
Connected Component Based Pavement Crack Identification Using Support Vector Machines
Güngör, Osman Erman; Pekcan, Onur (null; 2014-01-16)
Single-row routing by simulated annealing
Gülöksüz, Aslı; Ünver, Zafer; Department of Electrical and Electronics Engineering (1991)
Multiple Sound Source Localization with Rigid Spherical Microphone Arrays via Residual Energy Test
Coteli, Mert Burkay; Hacıhabiboğlu, Hüseyin (2019-05-01)
The estimation of the directions-of-arrival (DOAs) of multiple sound sources is a fundamental stage in acoustic scene analysis. Many application areas such as robot audition and object-based audio (OBA) broadcast require that DOA estimation is computationally efficient to allow real-time operation. We propose a new DOA estimation approach based on a sparse representation of recorded sound fields as a linear combination of spatially bandlimited impulses in this paper. The proposed algorithm operates on a tim...
Citation Formats
A. Haydar, “Isolated and connected digit recognition system for Turkish,” Middle East Technical University, 1994.