Automatic detection of vocal fold paralysis and edema
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Summary
A combined scheme of linear prediction analysis for feature extraction along with linear projection methods for feature reduction followed by known pattern recognition methods on the purpose of discriminating between normal and pathological voice samples is proposed.
- Type
- article
- Published
- 2004-10-04
- Cited by
- 36
- References
- 16
- OpenAlex
- https://openalex.org/W28558733
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13892196
Keywords
Linear discriminant analysis, Pattern recognition (psychology), Classifier (UML), Speech recognition, Artificial intelligence
References
- Speech pauses and gestural holds in parkinson²s disease
- Oro-facial changes in parkinson²s disease following intensive voice therapy (LSVT)
- Application of the lee silverman voice treatment (LSVT) to individuals with multiple sclerosis, ataxic dysarthria, and stroke
- Discrete-Time Processing of Speech Signals
- An evaluation of residue features as correlates of voice disorders.
- Interactions between speech coders and disordered speech
- Direct speech feature estimation using an iterative EM algorithm for vocal fold pathology detection
- Adaptive estimation of residue signal for voice pathology diagnosis
- Feature analysis for automatic detection of pathological speech
- Book Review: Pattern Recognition: statistical, structural and neural approaches
- Pattern Recognition: Statistical, Structural and Neural Approaches
- Acoustic Characteristics of Normal and Pathological Voices
- Pattern Recognition, Statistical
- AND T
- Introduction to Statistical Pattern Recognition
Cited by
- Short-Term Cepstral Analysis Applied to Vocal Fold Edema Detection
- The SVM-Based Feature Reduction in Vocal Fold Pathology Diagnosis
- A novel hybrid method for vocal fold pathology diagnosis based on russian language
- Employing linear prediction residual signal of wavelet sub-bands in automatic detection of laryngeal pathology
- An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine
- Parametric cepstral analysis for pathological voice assessment
- LPC modelling and cepstral analysis applied to vocal fold pathology detection
- Methodological issues in the development of automatic systems for voice pathology detection
- Voice Pathology Assessment Systems for Dysphonic Patients: Detection, Classification, and Speech Recognition
- Pathological voice discrimination based on entropy measurements
- Linear Classifier with Reject Option for the Detection of Vocal Fold Paralysis and Vocal Fold Edema
- Vocal fold disorder detection based on continuous speech by using MFCC and GMM
- Spectro-temporal directional derivative based automatic speech recognition for a serious game scenario
- An improved method for voice pathology detection by means of a HMM-based feature space transformation
- A Novel GMM-Based Feature Reduction for Vocal Fold Pathology Diagnosis
- Modulation Spectra Morphological Parameters: A New Method to Assess Voice Pathologies according to the GRBAS Scale
- Feature Estimation for Vocal Fold Edema Detection Using Short-Term Cepstral Analysis
- A Hybrid of Genetic Algorithm and Support Vector Machine for Feature Reduction and Detection of Vocal Fold Pathology
- An ANN-based Method for Detecting Vocal Fold Pathology
- Voice pathology detection based on the modified voice contour and SVM
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- 非対称分布声帯モデルによる疾患時の発声の数値解析 : 第1報,発声開始肺圧の数値解析(流体工学,流体機械)