Which technology understands meaning and intent in speech systems?

• A. Natural Language Processing
• B. Speech Recognition
• C. Speech Synthesis
• D. Optical Character Recognition

Answer: (A)

Understanding meaning and intent behind spoken language requires analyzing language at a semantic level. Natural Language Processing handles that, enabling computers to derive meaning, grammar, context, and user intent from text. In a speech system, NLP is used to interpret the user’s request and determine the appropriate response, typically after speech recognition has turned the speech into text. This focus on understanding makes it the best choice for grasping what the user wants. Speech recognition, by contrast, is about converting audio into accurate text and capturing how words are spoken; it doesn’t interpret meaning. Speech synthesis creates spoken output from text, so it’s about producing speech rather than understanding. Optical Character Recognition reads text from images and has no role in interpreting spoken language.