MFCC in audio signal processing for voice disorder: a review

• Main Authors: Sidhu M.S., Latib N.A.A., Sidhu K.K.
• 其他作者: 56259597000
• 格式: Article
• 出版: Springer 2025
• 主题: Classification (of information); Decision trees; Extraction; Feature extraction; Neural networks; Speech communication; Speech recognition; Audio signal; Feature classifiers; Feature extractor; Features extraction; Implementation techniques; Mel frequency cepstral co-efficient; Mel-frequency cepstral coefficients; Support vectors machine; Voice disorders; Support vector machines

Voice Disorder or Dysphonia has caught the attention of audio signal process engineers and researchers. The efficiency of several feature extraction and classifier implementation techniques in identifying voice abnormalities has been investigated. Mel-Frequency Cepstral Coefficient (MFCC) has been e...