Recent significant advancements in voice and speech recognition technologies have revolutionized human-computer interaction across multiple domains. While most traditional methods use audio signals for recognition, newer approaches incorporate motion data to improve user experience, robustness, and accuracy. With an emphasis on the incorporation of motion techniques, this research paper offers a thorough analysis of the most recent advancements in speech and voice recognition technology. We examine the development of voice recognition systems, going over their fundamental ideas and uses. We also explore the use of motion data to augment audio-based recognition techniques, such as gestures, facial expressions, and body movements.We examine cutting-edge motion-based algorithms and systems, emphasizing both their advantages and disadvantages. We also look at real-world applications in a variety of sectors, including virtual reality, gaming, healthcare, and the automobile industry.