Speech Recognition Systems are technologies that enable computers to understand and process human speech. They convert spoken language into text by analyzing sound waves and identifying words and phrases. These systems use algorithms and machine learning to improve their accuracy over time, making them useful in various applications like virtual assistants, transcription services, and voice-activated devices. These systems typically involve two main components: automatic speech recognition (ASR) and natural language processing (NLP). ASR focuses on recognizing spoken words, while NLP helps interpret the meaning behind those words. Together, they allow for more interactive and efficient communication between humans and machines.