Vocal tremor analysis via AM-FM decomposition of empirical modes of the glottal cycle length time series

International audienceThe presentation concerns a method that obtains the size and frequency of vocal tremor in speech sounds sustained by normal speakers and patients suffering from neurological disorders. The glottal cycle lengths are tracked in the temporal domain via salience analysis and dynamic programming. The cycle length time series is then decomposed into a sum of oscillating components by empirical mode decomposition the instantaneous envelopes and frequencies of which are obtained via an AM-FM decomposition. Based on their average instantaneous frequencies , the empirical modes are then assigned to four categories (intonation, physiological tremor, neurological tremor as well as jitter) and added within each. The within-category size of the cycle length perturbations is estimated via the standard deviation of the empirical mode sum divided by the average cycle length. The tremor frequency within the neurological tremor category is obtained via a weighted instantaneous average of the mode frequencies followed by a weighted temporal average. The method is applied to two corpora of vowels sustained by 123 and 74 control and 456 and 205 Parkinson speakers respectively

A Method for the Analysis of Respiratory Sinus Arrhythmia Using Continuous Wavelet Transforms

Abstract-A continuous wavelet transform-based method is presented to study the nonstationary strength and phase delay of the respiratory sinus arrhythmia (RSA). The RSA is the cyclic variation of instantaneous heart rate at the breathing frequency. In studies of cardio-respiratory interaction during sleep, paced breathing or postural changes, low respiratory frequencies, and fast changes can occur. Comparison on synthetic data presented here shows that the proposed method outperforms traditional short-time Fourier-transform analysis in these conditions. On the one hand, wavelet analysis presents a sufficient frequency-resolution to handle low respiratory frequencies, for which time frames should be long in Fourier-based analysis. On the other hand, it is able to track fast variations of the signals in both amplitude and phase for which time frames should be short in Fourier-based analysis. Index Terms-Cardio-respiratory interaction, continuous wavelet transform (CWT), heart rate variability (HRV), respiratory sinus arrhythmia (RSA)

Constrained Chebyshev approximation for FIR filters

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Reduction of coefficient wordlength for FIR linear phase digital filters

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DESIGN OF QUADRATURE MIRROR FILTERS BY LINEAR PROGRAMMING.

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Design of f.i.r. direct-form digital filters with two quantisation steps

The direct-form realisation of f.i.r. linear-phase digital filters is investigated when the coefficients are separated in two groups with different quantisation steps. It is shown in an example that considerable improvement in coefficient word length can be achieved by this technique.© 1979, The Institution of Electrical Engineers. All rights reserved.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Synthèse des filtres numériques non récursifs à coefficients quantifiés

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Design of linear or minimum-phase fir filters by constrained chebyshev approximation

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CHEBYSHEV DESIGN OF FILTERS FOR SUBBAND CODERS.

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Linear and non linear phase quadrature mirror filters

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