Acoustic Environment

Acoustic environment research focuses on understanding and modeling how sound propagates and is perceived in various spaces, aiming to improve speech processing, sound source localization, and overall audio quality. Current research emphasizes developing robust algorithms and neural network architectures, such as attention-based models and convolutional recurrent neural networks (CRNNs), to estimate room parameters (e.g., reverberation time, volume), enhance speech in noisy conditions, and accurately localize sound sources even in complex, dynamic environments. This field is crucial for advancing applications in hearing aids, virtual/augmented reality, robotics, and underwater acoustics, where accurate sound processing is essential for effective operation.