Selection of voice features to diagnose hearing impairments of children

Proceedings of the IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2001, Pages 427-432

  Skrypnyk, Iryna ^a   Grzanka, Antony ^b   Puuronen, Seppo ^a   Szkielkowska, Agata ^c  

^a UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c Institute of Physiology and Pathology of Hearing   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUDITION; COMPUTER AIDED DIAGNOSIS; CORRELATION METHODS; HEURISTIC METHODS; SPEECH RECOGNITION;

HEARING IMPAIRMENTS;

FEATURE EXTRACTION;

EID: 0034875236     PISSN: 10637125     EISSN: None     Source Type: Journal    
DOI: 10.1109/CBMS.2001.941757     Document Type: Article

References (10)

1. Comment on the results of voice analysis
2. Evaluation of larynx and voice in children with hearing loss
3. Feature selection for ensembles
4. Dimensionality reduction through classifier ensembles
5. Correlation-based feature selection for discrete and numeric class machine learning
6. Ensemble feature selection based on contextual merit and correlation heuristics
7. Ensemble feature selection based on the contextual merit
8. International conference on newborn hearing screening diagnosis and intervention
9. Self-organizing map for the classification of normal and disordered female voices