Deepgram Brings Nova-3 Speech Engine to Snapdragon Devices

Deepgram is bringing its speech recognition directly to PCs powered by Snapdragon processors, optimizing its Nova-3 speech-to-text model on the Qualcomm Hexagon NPU in the Snapdragon X Series platform.

Nova-3 is a voice AI model that offers real-time multilingual transcription and instant vocabulary adaptation without model retraining.

With this integration, Deepgram is enabling developers and device manufacturers to deliver real-time voice experiences with greater speed, privacy, and reliability, without relying on a cloud connection. This effort opens the door to further integration of voice into intelligent applications across the automotive, mobile, industrial, IoT, and wearable device markets.

Deepgram is enabling speech recognition to happen directly on the device itself.

"We recognize that voice AI technologies serve different needs. That's why we value our work with Deepgram, because accuracy, latency, reliability, and scalability matter for developers building automotive systems, healthcare applications, industrial solutions, and other mission-critical experiences," said Upendra Kulkarni, vice president of product management at Qualcomm Technologies, in a statement. "The on-device AI capabilities of Snapdragon processors combined with Deepgram's enterprise-class voice AI uniquely bring those requirements together in a way that opens new possibilities for real-time voice experiences across the device ecosystem."

"The future of voice-first interaction is about meeting users wherever they are—in a vehicle, on a factory floor, inside an XR headset—without compromising on accuracy or responsiveness," said Abe Pursell, vice president of business development and partnerships at Deepgram, in a statement. "To make that possible, you need enterprise-grade speech recognition that can deliver within the constraints of a device. We're bringing Deepgram Nova-3 directly to the ecosystem of PCs with Snapdragon, providing a foundation to build voice into products that work wherever people happen to be, regardless of network conditions."