A Review Paper on Voice Recognition and Response (VRR)

Voice recognition and response technology have undergone significant advancements, revolutionizing various domains such as personal assistants, smart homes, and customer service applications. This review study provides an extensive analysis of voice recognition and response, covering its historical development, evolution, current state, research trends, AI models, used case studies, applications, challenges, and future directions. By scrutinizing the progress in this field, the study aims to gain insights into the potential, limitations, and opportunities of voice-based interaction systems. In recent years, this research study has focused on developing end-to-end models using recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models. These AI models have demonstrated promising results in improving speech recognition accuracy and language understanding. By addressing the challenges faced by current systems, this study aims to contribute to the refinement of voice recognition and response systems and foster further advancements in the field.