Audio Signal

Audio signal processing focuses on analyzing, manipulating, and generating audio data, aiming to improve audio quality, extract meaningful information, and enable novel applications. Current research emphasizes the use of deep learning models, including GANs, variational autoencoders, and transformer networks, to address tasks such as audio enhancement, source separation, and generation, often leveraging time-frequency representations and advanced feature engineering techniques. These advancements have significant implications for various fields, including music production, speech processing, healthcare (e.g., detecting respiratory illnesses), and virtual/augmented reality, by improving audio quality, enabling more realistic audio experiences, and facilitating the development of more sophisticated audio-based applications.