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Automatic Speaker Verification System for Dysarthria Patients.

, , and . INTERSPEECH, page 5070-5074. ISCA, (2022)

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Role of Linear, Mel and Inverse-Mel Filterbanks in Automatic Recognition of Speech from High-Pitched Speakers., , , and . CSSP, 38 (10): 4667-4682 (2019)A Noise Robust Technique for Detecting Vowels in Speech Signals., , and . INTERSPEECH, page 3680-3684. ISCA, (2020)On the Role of Linear, Mel and Inverse-Mel Filterbank in the Context of Automatic Speech Recognition., , , and . NCC, page 1-5. IEEE, (2019)Role of Prosodic Features on Children's Speech Recognition., , , and . ICASSP, page 5519-5523. IEEE, (2018)Automatic Speaker Verification System for Dysarthria Patients., , and . INTERSPEECH, page 5070-5074. ISCA, (2022)Client-wise cohort set selection by combining speaker- and phoneme-specific I-vectors for speaker verification., , and . Multimedia Tools Appl., 77 (7): 8273-8294 (2018)An Experimental Study on the Significance of Variable Frame-Length and Overlap in the Context of Children's Speech Recognition., , , , and . CSSP, 37 (12): 5540-5553 (2018)Improving the Performance of Zero-Resource Children's ASR System through Formant and Duration Modification based Data Augmentation., , , and . SPCOM, page 1-5. IEEE, (2022)Enhancing robustness of zero resource children's speech recognition system through bispectrum based front-end acoustic features., , , and . Digit. Signal Process., (2021)In-Domain and Out-of-Domain Data Augmentation to Improve Children's Speaker Verification System in Limited Data Scenario., , , and . ICASSP, page 7554-7558. IEEE, (2020)