 | 2012 |
|---|
| 31 |       | I. Yücel Özbek,
Mark Hasegawa-Johnson,
Mübeccel Demirekler:
On Improving Dynamic State Space Approaches to Articulatory Inversion With MAP-Based Parameter Estimation.
IEEE Transactions on Audio, Speech & Language Processing 20(1): 67-81 (2012) |
| 2011 |
|---|
| 30 | | I. Yücel Özbek,
Mark Hasegawa-Johnson,
Mübeccel Demirekler:
Estimation of Articulatory Trajectories Based on Gaussian Mixture Model (GMM) With Audio-Visual Information Fusion and Dynamic Kalman Smoothing.
IEEE Transactions on Audio, Speech & Language Processing 19(5): 1180-1195 (2011) |
| 2010 |
|---|
| 29 | | Mehmet Haydar Karcí,
Mübeccel Demirekler:
Minimization of Monotonically Levelable Higher Order MRF Energies via Graph Cuts.
IEEE Transactions on Image Processing 19(11): 2849-2860 (2010) |
| 2009 |
|---|
| 28 | | I. Yücel Özbek,
Mark Hasegawa-Johnson,
Mübeccel Demirekler:
Formant trajectories for acoustic-to-articulatory inversion.
INTERSPEECH 2009: 2807-2810 |
| 27 | | Emre Özkan,
I. Yücel Özbek,
Mübeccel Demirekler:
Dynamic Speech Spectrum Representation and Tracking Variable Number of Vocal Tract Resonance Frequencies With Time-Varying Dirichlet Process Mixture Models.
IEEE Transactions on Audio, Speech & Language Processing 17(8): 1518-1532 (2009) |
| 2008 |
|---|
| 26 | | I. Yücel Özbek,
Mübeccel Demirekler:
Vocal tract resonances tracking based on voiced and unvoiced speech classification using dynamic programming and fixed interval kalman smoother.
ICASSP 2008: 4217-4220 |
| 25 | | Umut Orguner,
Mübeccel Demirekler:
Risk-sensitive filtering for jump Markov linear systems.
Automatica 44(1): 109-118 (2008) |
| 24 | | Umut Orguner,
Mübeccel Demirekler:
Maximum Likelihood Estimation of Transition Probabilities of Jump Markov Linear Systems.
IEEE Transactions on Signal Processing 56(10-2): 5093-5108 (2008) |
| 2007 |
|---|
| 23 | | Özgül Salor,
Bryan L. Pellom,
Tolga Çiloglu,
Mübeccel Demirekler:
Turkish speech corpora and recognition tools developed by porting SONIC: Towards multilingual speech recognition.
Computer Speech & Language 21(4): 580-593 (2007) |
| 2006 |
|---|
| 22 | | I. Yücel Özbek,
Mübeccel Demirekler:
Tracking of visible vocal tract resonances (VVTR) based on kalman filtering.
INTERSPEECH 2006 |
| 21 | | Umut Orguner,
Mübeccel Demirekler:
An online sequential algorithm for the estimation of transition probabilities for jump Markov linear systems.
Automatica 42(10): 1735-1744 (2006) |
| 20 | | Özgül Salor,
Mübeccel Demirekler:
Dynamic programming approach to voice transformation.
Speech Communication 48(10): 1262-1272 (2006) |
| 2005 |
|---|
| 19 | | Özgül Salor,
Mübeccel Demirekler:
Voice transformation using principle component analysis based LSF quantization and dynamic programming approach.
INTERSPEECH 2005: 1889-1892 |
| 2003 |
|---|
| 18 | | Onur Cilingir,
Mübeccel Demirekler:
A new decoder design for large vocabulary turkish speech recognition.
INTERSPEECH 2003 |
| 17 | | Özgül Salor,
Mübeccel Demirekler,
Bryan L. Pellom:
A system for voice conversion based on adaptive filtering and line spectral frequency distance optimization for text-to-speech synthesis.
INTERSPEECH 2003 |
| 16 | | Özgül Salor,
Bryan L. Pellom,
Mübeccel Demirekler:
Implementation and evaluation of a text-to-speech synthesis system for turkish.
INTERSPEECH 2003 |
| 15 | | Hakan Altinçay,
Mübeccel Demirekler:
Undesirable effects of output normalization in multiple classifier systems.
Pattern Recognition Letters 24(9-10): 1163-1170 (2003) |
| 14 | | Hakan Altinçay,
Mübeccel Demirekler:
Speaker identification by combining multiple classifiers using Dempster-Shafer theory of evidence.
Speech Communication 41(4): 531-547 (2003) |
| 2002 |
|---|
| 13 | | Hakan Altinçay,
Mübeccel Demirekler:
Why Does Output Normalization Create Problems in Multiple Classifier Systems?
ICPR (2) 2002: 775-778 |
| 12 | | Özgül Salor,
Bryan L. Pellom,
Tolga Çiloglu,
Kadri Hacioglu,
Mübeccel Demirekler:
On developing new text and audio corpora and speech recognition tools for the turkish language.
INTERSPEECH 2002 |
| 11 | | Hakan Altinçay,
Mübeccel Demirekler:
Post-processing of Classifier Outputs in Multiple Classifier Systems.
Multiple Classifier Systems 2002: 159-168 |
| 10 | | Mübeccel Demirekler,
Hakan Altinçay:
Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets.
Pattern Recognition 35(11): 2365-2379 (2002) |
| 2001 |
|---|
| 9 | | Afsar Saranli,
Mübeccel Demirekler:
Rank-Based Multiple Classifier Decision Combination: A Theoretical Study.
JACIII 5(1): 37-43 (2001) |
| 8 | | Afsar Saranli,
Mübeccel Demirekler:
On output independence and complementariness in rank-based multiple classifier decision systems.
Pattern Recognition 34(12): 2319-2330 (2001) |
| 7 | | Afsar Saranli,
Mübeccel Demirekler:
A statistical unified framework for rank-based multiple classifier decision combination.
Pattern Recognition 34(4): 865-884 (2001) |
| 2000 |
|---|
| 6 | | Afsar Saranli,
Mübeccel Demirekler:
A Unified View of Rank-Based Decision Combination.
ICPR 2000: 2479-2482 |
| 5 | | Mübeccel Demirekler,
Fahri Karahan,
Tolga Çiloglu:
Fusing Length and Voicing Information, and HMM Decision Using a Bayesian Causal Tree against Insufficient Training Data.
ICPR 2000: 3106-3109 |
| 4 | | Hakan Altinçay,
Mübeccel Demirekler:
An information theoretic framework for weight estimation in the combination of probabilistic classifiers for speaker identification.
Speech Communication 30(4): 255-272 (2000) |
| 1999 |
|---|
| 3 | | Hakan Altinçay,
Mübeccel Demirekler:
On the use of supra model information from multiple classifiers for robust speaker identification.
EUROSPEECH 1999 |
| 2 |  | Hakan Altinçay,
Mübeccel Demirekler:
Use of model confusion learning for speaker identification A rule-based approach.
NSIP 1999: 321-325 |
| 1995 |
|---|
| 1 | | Mübeccel Demirekler:
On the first order equalization of hidden Markov models.
IEEE Transactions on Signal Processing 43(6): 1522-1524 (1995) |
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