Speech Dereverberation

Speech dereverberation aims to remove the unwanted echoes and reverberations from audio recordings, improving speech intelligibility and the performance of downstream tasks like speech recognition. Current research heavily utilizes deep learning, employing architectures like diffusion models, generative adversarial networks (GANs), and recurrent neural networks (RNNs), often incorporating multi-modal approaches that leverage visual information alongside audio. These advancements are significant for improving human-computer interaction, assistive technologies for hearing-impaired individuals, and the robustness of speech processing systems in real-world acoustic environments.