What technology translates spoken language into text for use in applications like voice assistants?

Automatic speech recognition is the technology responsible for converting spoken language into text, making it crucial for applications like voice assistants. This technology leverages algorithms and models to analyze audio input, recognize the phonetic sounds, and transcribe them into written text. It involves various processes, including sound wave analysis, pattern recognition, and natural language processing, facilitating seamless interaction between users and devices through voice commands.

In the context of voice assistants, such as those found on smartphones or smart speakers, automatic speech recognition enables these systems to understand and respond to user requests verbally, enhancing user experience through convenience and accessibility. The ability to accurately transcribe spoken words into text is foundational for tasks such as setting reminders, searching the web, or controlling smart home devices.

Other technologies listed do not serve the same function: attended bots focus on customer service interactions involving both humans and AI, augmented intelligence enhances human capabilities by providing intelligent support in decision-making, while autonomous systems operate independently in various environments but do not specifically deal with speech-to-text translation.