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This section explores various sound synthesis techniques, including sample-based, physical modeling, abstract synthesis, and deep learning-based methods, highlighting their applications in virtual events for synthesizing audience feedback like clapping, whistling, booing, and laughter. Deep learning models show promise in creating more natural and diverse laughter sounds, revolutionizing acoustic feedback synthesis.