Deepgram today announced an initiative to bring enterprise-grade speech recognition directly onto PCs powered by Snapdragon® processors. By optimizing Deepgram’s Nova-3 speech-to-text model on the Qualcomm® Hexagon™ NPU in the Snapdragon X Series platform, 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 a new generation of intelligent applications across automotive, mobile, AI PC, XR, industrial edge, IoT, and wearable devices.
Many voice AI solutions have historically relied on a cloud-based architecture. Before a response could be delivered, each interaction required audio to leave the device, travel to the cloud, be processed somewhere else, and then return. With this approach, delays and privacy concerns are sometimes introduced, which limit where voice AI can realistically be deployed. Deepgram is fundamentally changing that model, enabling speech recognition to happen directly on the device itself. The result is an entirely new world of applications and user experiences that feel like a natural conversation, whether it is running in a vehicle, on an AI PC, inside an XR headset, or at the edge of a network where connectivity cannot be guaranteed.
Nova-3 advances Deepgram’s industry-leading accuracy, extending its capabilities to a broader range of real-world enterprise use cases and challenging audio conditions. It is the first voice AI model to offer real-time multilingual transcription. Deepgram is also the first to provide users with demonstrably effective and highly accurate self-serve customization – enabling instant vocabulary adaptation without model retraining. Superior accuracy: Nova-3 leads transcription accuracy with a 6.89% word error rate on real-world production audio, a 24.7% lower error rate than the next-best competitor.
To learn more, please visit: https://deepgram.com/partners/qualcomm.
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This entry was posted on July 21, 2026 at 8:30 am and is filed under Commentary with tags Deepgram. You can follow any responses to this entry through the RSS 2.0 feed.
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Deepgram Delivers Real-Time Voice AI at the Edge for Use with Snapdragon
Deepgram today announced an initiative to bring enterprise-grade speech recognition directly onto PCs powered by Snapdragon® processors. By optimizing Deepgram’s Nova-3 speech-to-text model on the Qualcomm® Hexagon™ NPU in the Snapdragon X Series platform, 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 a new generation of intelligent applications across automotive, mobile, AI PC, XR, industrial edge, IoT, and wearable devices.
Many voice AI solutions have historically relied on a cloud-based architecture. Before a response could be delivered, each interaction required audio to leave the device, travel to the cloud, be processed somewhere else, and then return. With this approach, delays and privacy concerns are sometimes introduced, which limit where voice AI can realistically be deployed. Deepgram is fundamentally changing that model, enabling speech recognition to happen directly on the device itself. The result is an entirely new world of applications and user experiences that feel like a natural conversation, whether it is running in a vehicle, on an AI PC, inside an XR headset, or at the edge of a network where connectivity cannot be guaranteed.
Nova-3 advances Deepgram’s industry-leading accuracy, extending its capabilities to a broader range of real-world enterprise use cases and challenging audio conditions. It is the first voice AI model to offer real-time multilingual transcription. Deepgram is also the first to provide users with demonstrably effective and highly accurate self-serve customization – enabling instant vocabulary adaptation without model retraining. Superior accuracy: Nova-3 leads transcription accuracy with a 6.89% word error rate on real-world production audio, a 24.7% lower error rate than the next-best competitor.
To learn more, please visit: https://deepgram.com/partners/qualcomm.
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This entry was posted on July 21, 2026 at 8:30 am and is filed under Commentary with tags Deepgram. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.