Tracking of Visible Vocal Tract Resonances (VVTR) Based on Kalman Filtering

Özbek Arslan, Işıl
Demirekler, Mübeccel
This paper analyzes vocal tract resonance (VTR) frequency trajectories and their relationship to formants from a new point of view. Considering abrupt/continuous changes in the physical geometry of vocal tract, VTR may change in number, suddenly change their positions or may leak to some regions where they usually do not exist. We define the visible VTR (VVTR) as VTR that can be seen from the spectrogram. So we propose an algorithm, based on Kalman filtering, that can handle all these changes in VVTR. The suggested properties of VVTR trajectories and the performance of the algorithm are demonstrated on several examples.
9th International Conference on Spoken Language Processing/INTERSPEECH 2006


Vocal tract resonances tracking based on voiced and unvoiced speech classification using dynamic programming and fixed interval Kalman smoother
Oezbek, I. Yuecel; Demirekler, Mübeccel (2008-04-04)
This paper presents a systematic framework for accurate estimation of vocal tract resonances (formants) using neither training data nor a phonetic transcription. In the proposed method, the speech signal is segmented in voiced and unvoiced parts and the resonance frequencies of the vocal tract are estimated by dynamic programming and further processed by using Kalman filtering/smoothing for each part. The performance of the proposed method is compared with three different methods which are baseline, WaveSur...
Exact kalman filtering of respiratory motion
Çetinkaya, Mehmet; Erkmen, Aydan Müşerref (2018-10-01)
In this paper we propose a novel Exact Kalman Filter for state estimation of quasi-periodic signals such as respiratory motion. Nonlinear functions of interest are approximations as truncated Fourier series. Instead of relying on approximations provided by Extended Kalman Filter or Unscented Kalman Filter, our filter performs exact calculation of the mean and covariances of interest. We then compare, through simulations, the performance of our filter to the two. Our results show that the theoretically deriv...
Effect of the Passivation Layer on the Noise Characteristics of Mid-Wave-Infrared InAs/GaSb Superlattice Photodiodes
Tansel, Tunay; Kutluer, Kutlu; Salihoglu, Omer; AYDINLI, ATİLLA; ASLAN, BÜLENT; Arikan, Bulent; Kilinc, Murat Celal; ERGÜN, YÜKSEL; SERİNCAN, UĞUR; Turan, Raşit (2012-05-01)
The authors describe the noise characterization of a mid-wavelength-infrared (MWIR) photodiode based on indium arsenide and gallium antimonide (InAs/GaSb) superlattice (SL), addressing the influence of different passivation layers applied to the surface of the device. The MWIR InAs/GaSb SL design structure is based on p-i-n configuration grown by the molecular beam epitaxy on a (001) n-GaSb substrate. The SiO2-passivated SL photodiodes demonstrated a Schottky-limited noise up to a bias voltage of -0.1 V whe...
Measurement of the azimuthal ordering of charged hadrons with the ATLAS detector
Aad, G.; et. al. (2012-09-14)
This paper presents a study of the possible ordering of charged hadrons in the azimuthal angle relative to the beam axis in high-energy proton-proton collisions at the Large Hadron Collider (LHC). A spectral analysis of correlations between longitudinal and transverse components of the momentum of the charged hadrons, driven by the search for phenomena related to the structure of the QCD field, is performed. Data were recorded with the ATLAS detector at center-of-mass energies of root s = 900 GeV and root s...
Compressed images for affinity prediction-2 (CIFAP-2): an improved machine learning methodology on protein-ligand interactions based on a study on caspase 3 inhibitors
Erdas, Ozlem; Andac, Cenk. A.; Gurkan-Alp, A. Selen; Alpaslan, Ferda Nur; Buyukbingol, Erdem (Informa UK Limited, 2015-01-01)
The aim of this study is to propose an improved computational methodology, which is called Compressed Images for Affinity Prediction-2 (CIFAP-2) to predict binding affinities of structurally related protein-ligand complexes. CIFAP-2 method is established based on a protein-ligand model from which computational affinity information is obtained by utilizing 2D electrostatic potential images determined for the binding site of protein-ligand complexes. The quality of the prediction of the CIFAP-2 algorithm was ...
Citation Formats
I. Özbek Arslan and M. Demirekler, “Tracking of Visible Vocal Tract Resonances (VVTR) Based on Kalman Filtering,” presented at the 9th International Conference on Spoken Language Processing/INTERSPEECH 2006, Pittsburgh, PA, 2006, Accessed: 00, 2020. [Online]. Available: