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Refining a deep learning-based formant tracker using linear prediction methods., , and . Comput. Speech Lang., (June 2023)Spectral and temporal manipulations of SFF envelopes for enhancement of speech intelligibility in noise., , and . Comput. Speech Lang., (2019)Subjective Evaluation of Basic Emotions from Audio-Visual Data., and . Sensors, 22 (13): 4931 (2022)Excitation source features for discrimination of anger and happy emotions., , , and . INTERSPEECH, page 1253-1257. ISCA, (2014)SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017., , , , and . INTERSPEECH, page 107-111. ISCA, (2017)Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals., , and . CoRR, (2023)Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals., , , and . CoRR, (2023)Vowel-Based Non-uniform Prosody Modification for Emotion Conversion., , and . CSSP, 35 (5): 1643-1663 (2016)Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge., , , , and . CoRR, (2020)Spectral modification for recognition of children's speech undermismatched conditions., , , and . NoDaLiDa, page 94-100. Linköping University Electronic Press, Sweden, (2021)