Deepgram is introducing Aura, a text-to-speech model that delivers human-like quality conversations faster and more efficiently than other voice AI alternatives. The company aims to provide developers with a complete speech AI platform by combining Aura with their industry-leading Nova-2 speech-to-text API. Aura focuses on high throughput, real-time use cases for conversational AI agents, offering natural human conversation flow, including timely responses and the incorporation of natural speech fillers. Deepgram's approach to text-to-speech is based on their expertise in processing and modeling speech audio, with a focus on speed, quality, and efficiency. The company plans to release Aura generally early next year and invites developers working on real-time AI agent use cases to join the waitlist for access to the new API.