AI systems today can listen to spoken words and convert them into text (STT) with high accuracy, and they can turn typed text into natural-sounding voices (TTS) that feel almost human. These tools are not just fancy features — they are becoming core parts of phones, apps, business systems, and even everyday tasks like dictation or language learning.
A recent announcement highlights this trend: IBM partnered with Deepgram to embed Deepgram’s advanced speech-to-text and text-to-speech capabilities into IBM’s enterprise AI platforms such as “watsonx Orchestrate”. That means businesses can automate voice transcription, real-time captioning, and voice-driven workflows — even in noisy, real-world environments with accents and dialects from around the world.
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Everyday Uses You Already See
Here are some ways AI voice tech touches people’s lives every day:
- Voice assistants & dictation: When you speak to Siri, Google Assistant, or voice typing on your phone, AI converts speech to text and back — making typing or commands hands-free.
- Real-time translation: Tools like Google Translate can now translate spoken words into another language almost instantly through headphones or phone apps.
- Enterprise voice agents: Companies use these systems in customer support to automatically transcribe and analyze calls, helping improve service or extract insights without human typing.