Speech Signal Improvement Challenge

The Speech Signal Improvement (SSI) challenge focuses on enhancing the quality of speech signals degraded by various distortions like noise and reverberation, aiming to improve both objective metrics (e.g., word accuracy) and subjective listening experience (e.g., using ITU-T P.804). Current research emphasizes the use of deep learning models, particularly generative adversarial networks (GANs) and generative diffusion models, often employing multi-stage architectures or multi-band processing to address different aspects of signal degradation. These advancements have significant implications for improving the quality of communication systems and speech-related applications, particularly in noisy or challenging acoustic environments.