in this paper, an integration of improve particle swarm optimization (ipso) incombination with successive quadratic programming (sqp) so called ipso-sqpalgorithm is proposed to solve time optimal bang-bang control problems. theprocedure is found not sensitive to the initial guess of the solution. due to randomselection in the first stage of the search process, the chance of converging to theglo...

This paper describes a robust two-phase pitch marking method based on peak-valley decision and dynamic programming. In the first phase, we select either peaks or valleys for pitch mark candidates according to its similarity to an estimated pitch curve. In the second phase, we define state and transition probabilities, and then employ dynamic programming to find the most likely pitch marks. We h...

The pitch-marking algorithm presented in this paper avoids inconsistency errors between pitch markers in subsequent fundamental periods by adding the requirements of waveform and pitch consistency. The approach is as follows. Candidate pitch markers satisfying user-defined properties for pitch marking are selected first. Dynamic programming is then used to find the sequence of candidate pitch m...

The main purpose of this paper is to recognize the speaker by using simple MATLAB programming. In system we compute pitch feature audio signal speaker. By finding out closest from database can be easily recognize. very correctly verify testing many times. Key Words: System design, ,pre-processing, FFT, Pitch, training, testing.

In this paper, a generic pitch marks filtering algorithm (PMFA) is introduced in order to achieve reliable and smooth pitch marks from any input pitch tracking or marking algorithm. The proposed PMFA is a simple yet effective filtering process based on restricted dynamic programming, but very helpful for minimizing human intervention when creating large speech corpora. Moreover, this work intro...

In a text-to-speech (TTS) conversion system based on the time-domain pitch-synchronous overlap-add (TD-PSOLA) method, accurate estimation of pitch periods and pitch marks is necessary for pitch modification to assure an optimal quality of the synthetic speech. In general, there are two major issues on pitch marking: pitch detection and location determination. In this paper, an adaptable filter,...

For pitch tracking of a single speaker, a common requirement is to find the optimal path through a set of voiced or voiceless pitch estimates over a sequence of time frames. Dynamic programming (DP) algorithms have been applied before to this problem. Here, the pitch candidates are provided by a multi-channel autocorrelation-based estimator, and DP is extended to pitch tracking of multiple conc...

For pitch tracking of a single speaker, a common requirement is to find the optimal path through a set of voiced or voiceless pitch estimates over a sequence of time frames. Dynamic programming (DP) algorithms have been applied before to this problem. Here, the pitch candidates are provided by a multi-channel autocorrelation-based estimator, and DP is extended to pitch tracking of multiple conc...

Pitch detection has important applications in areas of automatic speech recognition such as prosody detection, tonal language transcription, and general feature augmentation. In this paper we describe Pitcher, a new pitch tracking algorithm that correlates spectral information with a dictionary of waveforms each of which is designed to match signals with a given pitch value. We apply dynamic pr...