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CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition.

, , , , , and . INTERSPEECH, page 3859-3863. ISCA, (2022)

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Self-Supervised Learning Based Phone-Fortified Speech Enhancement., , , , and . Interspeech, page 211-215. ISCA, (2021)CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition., , , , , and . INTERSPEECH, page 3859-3863. ISCA, (2022)Automatic Speech-Based Smoking Status Identification., , , , , , and . SAI (3), volume 508 of Lecture Notes in Networks and Systems, page 193-203. Springer, (2022)Effectiveness of refactoring metrics model to identify smelly and error prone classes in open source software., and . ACM SIGSOFT Softw. Eng. Notes, 37 (2): 1-11 (2012)A Novel Self-training Approach for Low-resource Speech Recognition., , and . CoRR, (2023)Soil Moisture Prediction Using Machine Learning Techniques., and . CIIS, page 1-7. ACM, (2020)Building English - Punjabi Aligned Parallel Corpora of Nouns from Comparable Corpora., and . Appl. Comput. Syst., 28 (2): 245-251 (2023)Empirical Analysis of Supervised and Unsupervised Machine Learning Algorithms with Aspect-Based Sentiment Analysis., , , and . Appl. Comput. Syst., 28 (1): 125-136 (June 2023)Towards the Objective Speech Assessment of Smoking Status based on Voice Features: A Review of the Literature., , , , , and . CoRR, (2021)Realization of task-based designs involving DH parameters: a modular approach., and . Intelligent Service Robotics, 9 (3): 289-296 (2016)