Speech Envelope

The speech envelope, representing the temporal fluctuations in speech amplitude, is a crucial signal for understanding how the brain processes speech. Current research focuses on leveraging the speech envelope for improved speech processing in various applications, including detecting neurological disorders like aphasia through EEG analysis and enhancing machine learning models for speech recognition and generation. Researchers employ diverse techniques, such as deep learning architectures (e.g., transformers, convolutional neural networks) and signal processing methods (e.g., envelope tracking, modulation spectrum analysis), to extract meaningful information from the speech envelope. This work has significant implications for advancing both our understanding of auditory neuroscience and developing more robust and efficient speech technologies.