Aura-2 empowers businesses to scale their voice AI systems without compromising on quality, speed, or budget, enhancing customer interactions across the board.
You might want to reconsider everything you know about current text-to-speech capability. DeepGram has announced its latest text-to-speech (TTS) model, Aura-2, setting new standards for enterprise use cases. Designed to meet the specific needs of high-performance, real-time voice AI, Aura-2 outperforms competitors like ElevenLabs and OpenAI in preference tests for conversational enterprise applications. With sub-200ms latency, domain-specific pronunciation, and cost-efficiency, Aura-2 offers exceptional clarity and speed, making it ideal for industries such as healthcare, finance, and legal.
Real-Time, Enterprise-Optimized TTS
The goal is to address the precise requirements enterprises have for TTS systems, producing natural speech with models trained for domain-specific vocabulary. This includes things not normally found in casual conversations, such as drug names, alphanumeric identifiers, or legal references.
Aura-2 was specifically engineered to address the unique demands of enterprise-grade voice applications and at scale. Unlike entertainment-focused TTS systems, which prioritize emotional expressiveness, Aura-2 delivers clear, professional, and consistent speech for transactional, high-stakes interactions. With sub-200ms latency and precise handling of complex terms, numbers, and structured data, it ensures natural, fluid conversations in environments like virtual agents, IVRs, and customer support systems.
Powered by Deepgram’s Enterprise Runtime (DER), Aura-2 supports scalable, high-throughput performance across cloud, VPC, and on-prem environments, making it ideal for enterprises with demanding real-time needs.
See also: How Businesses Can Integrate Natural Language Processing
Why Aura-2 could be a Game Changer for Enterprises
The impact of Aura-2 goes beyond just voice quality; it’s engineered for scalability, reliability, and cost-efficiency. Unlike other providers, Deepgram’s runtime allows for seamless integration of speech-to-text and text-to-speech systems, reducing latency and streamlining operations. Additionally, the solution is designed to be significantly more affordable, priced at just $0.030 per 1,000 characters—lower than most competitors while still maintaining top-tier performance. With its enterprise-specific features, the solution empowers businesses to scale their voice AI systems without compromising on quality, speed, or budget, enhancing customer interactions across the board.
While its impact isn’t yet known, the focus on domain-specific accuracy at scale could be a significant benefit to organizations using TTS for large-scale deployments.
