Tessl’s Post

🚀 𝐀𝐈 𝐀𝐮𝐝𝐢𝐨 𝐢𝐬 𝐌𝐨𝐯𝐢𝐧𝐠 𝐅𝐚𝐬𝐭—𝐀𝐫𝐞 𝐘𝐨𝐮 𝐊𝐞𝐞𝐩𝐢𝐧𝐠 𝐔𝐩? The world of AI-generated audio is evolving at breakneck speed. From real-time voice cloning to multimodal AI that captures emotion, the way we interact with sound, speech, and content is being redefined. Guy Podjarny sat down with Mati Staniszewski, Co-founder of ElevenLabs, to dive deep into the engineering challenges and innovations shaping the future of AI-powered voice. Here’s What Stood Out: 🛠️ 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐢𝐧 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧: The real-world challenges of low-latency, high-fidelity voice synthesis, and the engineering trade-offs required to make AI-generated voices sound indistinguishable from human speech. 🧠 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐈 & 𝐒𝐩𝐞𝐞𝐜𝐡-𝐭𝐨-𝐒𝐩𝐞𝐞𝐜𝐡 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Why the future of AI isn’t just text-to-speech, but end-to-end voice-to-voice models that skip traditional transcription and maintain intonation, personality, and real-time interaction. ⚡ 𝐓𝐡𝐞 𝐂𝐨𝐬𝐭 𝐨𝐟 𝐑𝐞𝐚𝐥𝐢𝐬𝐦: AI-generated voices aren’t just about deep learning models—they require intensive compute resources, model compression, and architecture optimizations to run efficiently at scale. 🔊 𝐋𝐢𝐯𝐞 𝐀𝐈 𝐃𝐮𝐛𝐛𝐢𝐧𝐠 & 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐨𝐧: Imagine real-time voice translation that lets people have seamless conversations across languages. We’re closer than you think. This episode is packed with practical insights for engineers, cutting-edge AI discussions, and a glimpse into where AI-generated voice tech is headed. What excites (or worries) you the most about AI-generated audio? Let’s discuss in the comments! 👇 #AI #SoftwareEngineering #MachineLearning #AudioAI #VoiceTech #AIInnovation #GenerativeAI #AINative