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Height estimation from speech signals using i-vectors and least-squares support vector regression.

, , , and . TSP, page 1-5. IEEE, (2015)

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Height estimation from speech signals using i-vectors and least-squares support vector regression., , , and . TSP, page 1-5. IEEE, (2015)Dominant Distortion Classification for Pre-Processing of Vowels in Remote Biomedical Voice Analysis., , , and . INTERSPEECH, page 289-293. ISCA, (2017)Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering., , and . EUSIPCO, page 16-20. IEEE, (2018)A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices., , , and . ICASSP, page 296-300. IEEE, (2018)Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection., , , , , and . INTERSPEECH, page 2863-2867. ISCA, (2022)A Parametric Approach for Classification of Distortions in Pathological Voices., , , and . ICASSP, page 286-290. IEEE, (2018)Fantastic 4 system for NIST 2015 Language Recognition Evaluation., , , , , , , , , and 7 other author(s). CoRR, (2016)A CNN-based approach to identification of degradations in speech signals., , and . EURASIP J. Audio Speech Music. Process., 2021 (1): 1-10 (2021)Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection., , , , , , and . CoRR, (2019)Quality Control in Remote Speech Data Collection., , , and . J. Sel. Topics Signal Processing, 13 (2): 236-243 (2019)