Future Context

Future context, in various applications like speech recognition and autonomous driving, refers to incorporating information from future time steps to improve model performance. Current research focuses on efficiently integrating this information, often using transformer-based architectures or novel methods like simulating future contexts to mitigate latency issues inherent in real-time processing. This work is significant because it addresses limitations of existing models, improving accuracy and enabling practical applications in areas requiring immediate responses, such as real-time speech processing and autonomous vehicle navigation.