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Robustness of group-delay-based method for extraction of significant instants of excitation from speech signals
Research Area: Uncategorized Year: 1999
Type of Publication: Article Keywords: delays, feature extraction, matrix algebra, noise, prediction theory, reverberation, speech processingFrobenius norm, differenced signal, distortion robustness, excitation impulse strength, global phase characteristics, glottal closure, group-delay-based
Authors: P. Satyanarayana Murthy, B. Yegnanarayana  
We study the robustness of a group-delay-based method for determining the instants of significant excitation in speech signals. These instants correspond to the instants of glottal closure for voiced speech. The method uses the properties of the global phase characteristics of minimum phase signals. Robustness of the method against noise and distortion is due to the fact that the average phase characteristics of a signal is determined mainly by the strength of the excitation impulse. The strength of excitation is determined by the energy of the residual error signal around the instant of excitation. We propose a measure for the strength of the excitation based on Frobenius norm of the differenced signal. The robustness of the group-delay-based method is illustrated for speech under different types of degradations and for speech from different speakers
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