Example Concept: Speech recognition systems first capture audio input through a microphone. The audio is then processed to identify phonemes, the smallest units of sound. Acoustic models match these phonemes to potential words, while language models use context to predict the most likely word sequences. Finally, the system outputs the recognized text, often refining it with additional context or user-specific data.