Band Speech

Band speech research focuses on enhancing the quality and intelligibility of speech signals, particularly addressing limitations in bandwidth and the presence of distortions like noise and reverberation. Current efforts utilize generative adversarial networks (GANs), autoregressive models, and neural vocoders, often incorporating multi-stage or sub-band processing for improved efficiency and performance. These advancements have significant implications for various applications, including speech recognition, telephony, and assistive technologies, by improving the accuracy and robustness of systems that rely on high-quality audio input.