Envelope Tracking

Envelope tracking analyzes the temporal fluctuations in the amplitude of signals, primarily focusing on extracting meaningful information from these variations. Current research emphasizes applications in speech processing, including improved speech recognition in noisy environments, whispered speech classification, and aphasia detection using EEG data, often employing convolutional neural networks and other deep learning architectures for feature extraction and classification. These advancements have significant implications for improving human-computer interaction, assistive technologies for individuals with communication disorders, and enhancing the robustness of various signal processing applications.