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Recent developments in nonlinear dynamics and the theory of chaos have shown the existence of deterministic chaotic property in processing behavior of biological processing systems and human voice production. According to the natural selection theory a good problem-solver should have two main properties: The ability of emerging various solutions for problem and existence of a rule (or intelligence)...
Speech recognition accuracy degrades in presence of additive noise especially when recognizer's training data are clean. Several methods have been proposed to compensate effects of noise on recognition accuracy among these methods missing feature techniques (MFT) have shown promising results in making speech recognition systems robust. In MFT spectral vectors of speech signal are conventionally modeled...
Speech recognition accuracy degrades in presence of additive noise especially when recognizer's training data are clean. Several methods have been proposed to compensate effects of noise on recognition accuracy among these methods Feature- Based Missing Feature Techniques, have shown promising results in making speech recognition systems robust. In these methods first corrupted parts of speech spectrogram...
Cluster-based reconstruction is a feature based method that shown promising results in improvement of speech recognition accuracy but in low SNR values and multiple clusters, classification of noisy vectors is badly degrade the recognition accuracy. Main idea of this paper is to take advantage of phonetic properties and phonetic clustering to overcome disadvantage of classification step. We proposed...
Acoustic voice analysis is an effective, cheap and non-invasive tool that can be used to confirm the initial diagnosis and provides an objective determination of the impairment. The nonlinearities of the voice source mechanisms may cause the existence of chaos in human voice production. Voice pathology can cause to addition colored noise to voice wave. Added noise to a chaotic signal causes reduction...
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