Speech Encoder

Speech encoders are crucial components in many speech processing systems, aiming to convert raw audio into meaningful representations for downstream tasks like speech recognition, translation, and synthesis. Current research focuses on improving encoder robustness to noise and variations in speaking style, often employing transformer-based architectures and self-supervised learning techniques to achieve better generalization and efficiency. These advancements are driving progress in various applications, including more accurate and natural-sounding speech technologies and improved spoken language understanding in diverse and low-resource settings.