The technology commonly used for voice recognition systems is based on natural language processing (NLP) and machine learning algorithms. These systems are designed to understand and interpret human speech, transforming audio input into text through various techniques, including acoustic modeling, language modeling, and feature extraction. Advances in deep learning, particularly neural networks, have significantly improved the accuracy of voice recognition systems, making them widely used in applications such as virtual assistants, transcription services, and automated customer service solutions.