IBM and Deepgram have partnered to integrate Deepgram's speech-to-text and text-to-speech capabilities into IBM’s watsonx Orchestrate generative artificial intelligence solution.
This collaboration makes Deepgram IBM’s first voice partner, bringing voice AI technology that helps enterprises automate their operations and meet the growing demand for conversational AI technology, including advanced speech-to-text voice recognition so users can interact with digital agents using natural speech.
This integration also adds a wider range of languages and dialects, including dozens of Arabic and Indian variants, along with voices that reflect regional accents. It also adds options for custom tuning, real-time captioning, and natural-sounding speech.
These technologies open new possibilities for enhanced automated customer care and support, call analysis, and voice-driven data entry in fields like healthcare and finance.
"Voice is rapidly becoming the default interface between humans and technology, and enterprise deployments require a real-time platform that is accurate, low latency, and reliable at scale," said Scott Stephenson, CEO and co-founder of Deepgram, in a statement. "By embedding Deepgram inside watsonx Orchestrate Agent Builder, IBM clients can build voice agents and voice-enabled workflows on top of a real-time foundation that has been developed and refined over more than a decade."
"Our watsonx Orchestrate integration powered by Deepgram APIs introduces new speech recognition and transcription capabilities to IBM clients, refining and modernizing their operations," said Nick Holda, vice president of AI technology partnerships at IBM, in a statement. "This collaboration aims to help enterprise organizations accelerate their AI initiatives and reinforces IBM's open ecosystem, bringing choice and cutting-edge voice technology to partners and customers."