Fundamental frequency estimation of voice of patients with laryngeal disorders
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Spoken language analysis, modeling and recognition-statistical and adaptive connectionist approaches
SPSS for Introductory Statistics: Use and Interpretation
SPSS for Introductory Statistics: Use and Interpretation
Super resolution pitch determination of speech signals
IEEE Transactions on Signal Processing
Characterization of signals by the ridges of their wavelettransforms
IEEE Transactions on Signal Processing
Application of the wavelet transform for pitch detection of speech signals
IEEE Transactions on Information Theory - Part 2
A comparison of multiple classification methods for diagnosis of Parkinson disease
Expert Systems with Applications: An International Journal
Nonlinear Models Using Dirichlet Process Mixtures
The Journal of Machine Learning Research
Advances in detecting parkinson's disease
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
A new hybrid intelligent system for accurate detection of Parkinson's disease
Computer Methods and Programs in Biomedicine
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Low-frequency vocal modulations here designate slow disturbances of the phonatory frequency F"0. They are present in all voiced speech sounds, but their properties may be affected by neurological disease. An analysis method, based on continuous wavelet transforms, is proposed to extract the phonatory frequency trace and low-frequency vocal modulation in sustained speech sounds. The method is used to analyze a corpus of vowels uttered by male and female speakers, some of whom are healthy and some of whom suffer from Parkinson's disease. The latter present general speech problems but their voice is not perceived as tremulous. The objective is to discover differences between speaker groups in F"0 low-frequency modulations. Results show that Parkinson's disease has different effects on the voice of male and female speakers. The average phonatory frequency is significantly higher for male Parkinsonian speakers. The modulation amplitude is significantly higher for female Parkinsonian speakers. The modulation frequency is significantly higher and the ratio between the modulation energies in the frequency bands [3Hz,7Hz] and [7Hz,15Hz] is significantly lower for Parkinsonian speakers of both genders.