共 22 条
- [1] Combining Evidences from Variable Teager Energy Source and Mel Cepstral Features for Classification of Normal vs. Pathological Voices [J]. 2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
- [2] Teager Energy Cepstral Coefficients for Classification of Normal vs. Whisper Speech [J]. 28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 371 - 375
- [4] Robust speech recognition in noisy backgrounds based on teager energy operator and auditory process [J]. CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2003, : 550 - 554
- [5] Maximum Approximate Entropy for Normal and Pathological Voices Classification [J]. VI LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING (CLAIB 2014), 2014, 49 : 548 - 551
- [7] Teager Energy Cepstral Coefficients For Classification of Dysarthric Speech Severity-Level [J]. PROCEEDINGS OF 2022 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2022, : 1462 - 1468
- [8] A semisoft thresholding method based on Teager energy operation on wavelet packet coefficients for enhancing noisy speech [J]. EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING, 2013,
- [9] A semisoft thresholding method based on Teager energy operation on wavelet packet coefficients for enhancing noisy speech [J]. EURASIP Journal on Audio, Speech, and Music Processing, 2013
- [10] Mel-frequency cepstrum coefficients extraction from infant cry for classification of normal and pathological cry with feed-forward neural networks [J]. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 3140 - 3145