Which technology is primarily responsible for converting spoken language into text?

The technology responsible for converting spoken language into text is speech recognition. This process involves capturing audio input, processing the sounds, and using algorithms to determine the corresponding written language. Speech recognition systems analyze the phonetic components of spoken words, recognizing patterns in sound and mapping those patterns to the text. This technology is widely used in applications such as virtual assistants, voice-activated devices, and transcription services, allowing for seamless interaction between humans and machines through spoken language.

Other options do not pertain to the task of converting spoken language to text. Speech synthesis refers to generating spoken language from text, which is the opposite process. Natural language generation is focused on producing coherent text from structured data or other forms of input, while text summarization deals with condensing written content into shorter versions without losing essential information. Each of these fields contributes to the overall realm of Natural Language Processing but serves different purposes than speech recognition.