We present a novel formulation of nonstationary autoregressive (AR) models in terms of time-frequency (TF) shifts. The parameters of the proposed TFAR model are determined by "TF Yule-Walker equations" that involve the expected ambiguity function and can be solved efficiently due to their block-Toeplitz structure. For moderate model orders, we also propose approximate TF Yule-Walker equations t...

The frequency modulation sound parameter identification is a complex multimodal optimization problem. This problem is modeled in the form of a cost function that is the sum-squared error between the samples of estimated wave and the samples of real wave. In this research, the authors propose a shuffled particle swarm optimization algorithm to solve this problem. In the shuffled particle swam op...

We present an approach for the extraction of parameters of a damped complex exponential model from a spectrogram modified by a binary mask. The parameters are estimated by a frequency domain based methods using subspace techniques, where the core algorithm is F-ESPRIT. The sub-band defined by the binary mask provides a reduced number of DFT-samples for the parameter extractions, which results i...

This paper proposes a new application of speech modi cation called "speech morphing". In image processing, morphing is a well known technique that gradually changes one person's face to that of someone else. Speech morphing produces similar results for speech; i.e., one person's speech is gradually changed to that of someone else. Speech morphing makes it possible to create movies or multi-medi...

We present a novel formulation of nonstationary autoregressive (AR) models in terms of time-frequency (TF) shifts. The parameters of the proposed TFAR model are determined by “TF Yule-Walker equations” that involve the expected ambiguity function and can be solved efficiently due to their block-Toeplitz structure. For moderate model orders, we also propose approximate TF Yule-Walker equations t...

This paper studies the parameter estimation of a general multi-input, multi-output multi-rate system in the frequency-domain. Two methods, named dividing to subsystems and input extension, are introduced for dealing with multi-rate systems and the later method is easily used to convert a multi-input, multi-output multi-rate system to several sub-problems with fast input updating and slow output...