The wait is finally over, and we're thrilled to present Aura — the first text-to-speech model built for responsive, conversational AI agents and apps. 🗣️ Read the full announcement: https://lnkd.in/g4ra5vMq Over the last year, we've heard our customers' heartache about the current crop of text-to-speech products, citing roadblocks related to speed, cost, reliability, and conversational quality. “Deepgram and Groq share the belief that speed and efficiency are the missing ingredients in unlocking natural AI for daily use by everyone, as evidenced by the recent viral reception to ultra-fast LLMs when made available for the first time. Their voice AI models are prime examples of what can be achieved with the Groq API.” –Jonathan Ross, CEO & Founder of Groq That's where Aura comes in. Designed to handle real-time conversations at scale, developers can create realistic AI agents to support seamless interactions across various cases, from voice ordering systems to customer support. Aura checks all of the boxes: ✅ Lightning-fast speed with less than 250 ms latency ✅ High-quality voices with natural-sounding tone, rhythm, and emotion ✅ Cost-efficient for high-throughput applications Check out our open-source interactive demo: https://lnkd.in/gMJTDWE8 We're eager to see how Aura will fuel the next wave of AI innovation, and can't wait to see what you build!
Chris Dyer
7mo
Let's go!
Billy Sheng
7mo
Exciting stuff! Love seeing the breakthroughs in the ai voice space with latency and ensuring that the next generation of intelligence ai bots have next gen voices.
Inderpal M.
7mo
With such low latency and high quality, the use cases abound for voice conversations, or even multimodal conversations - further accelerating and voice enabling the conversational internet. Call centers are certainly ready for a transformation. What is the cost advantage of using Aura?
Dr. Silas Aslan
7mo
Can you also imitate sound of other persons? E.g. my sound by just a short sample?
Ajith Prabhudev
1mo
Deepgram the demo looks (sounds) great 😉 How much does it cost for text to speech of say a news article containing 4k words? Also, can one train their own voice on your platform?
💪🏻 congrats! so far only in english, correct? When do you plan a multilingual version
How would the assistant tools/agent action work? Won’t it increase latency?
Werner Strasser
7mo
Adam Steinharter
7mo
Can you hear me now?
Global Chess Educator | Empowering Parents and Children to Master Chess, Anywhere in the World.
2moThis is wonderful, but you can enhance your work with chess as a strategical way to improve the AI. What is Chess and How can it help? Chess, the ancient strategy board game, can surprisingly enhance the performance of AI models like Deepgram and Groq, designed to handle real-time conversations at scale. 1. Anticipatory Thinking: Chess players anticipate moves, thinking several steps ahead. Similarly, Deepgram and Groq can be trained to anticipate conversation flows, predicting potential responses and preparing appropriate reactions. 2. Pattern Recognition: Chess involves recognizing patterns and connections between pieces. Deepgram and Groq can leverage this skill to identify conversation patterns, sentiment, and context, enabling more accurate and efficient processing. 3. Strategic Decision-Making: Chess requires weighing options and making strategic decisions. Deepgram and Groq can apply this skill to optimize conversation handling, prioritizing tasks, and allocating resources for seamless real-time interactions. By incorporating chess-inspired strategies, Deepgram and Groq can enhance their ability to handle real-time conversations at scale, providing more accurate, efficient, and effective communication solutions.