Tutorial: Advances in Objective Speech Intelligibility and Quality Assessment: From Psychoacoustics to Machine Learning

Part I: Fundamental of objective speech intelligibility and quality assessment Background speech assessment and objective speech assessment metrics Methodology of existing objective speech assessment metrics Approaches to improve the power of objective speech assessment metrics Progress to develop nonintrusive speech assessment metrics Design of speech assessment metrics for special listening conditions (noisesuppression processing with nonlinear distortions) and specific listeners (hearing-impaired listeners) Part II: Deep learning-based assessment metrics and their applications Traditional assessment metrics and their limitations The advantages of deep learningbased assessment metrics Deep learningbased assessment metrics with advanced input, model architectures, and training criteria Wellknown datasets and deep learning-based assessment metrics Applying deeplearning-based assessment metrics speech signal processing systems