In this episode of the Convo AI World Podcast, Hermes Frangoudis interviews Klemen Simonic, founder and CEO of Soniox, who discusses how his team is achieving native speaker accuracy across 60+ languages. Klemen explains how Soniox leverages unsupervised learning and a universal model architecture to handle seamless language switching and real-time, mid-sentence translation with minimal latency. By prioritizing robustness and low-latency performance over traditional cascading models, Soniox enables high-fidelity voice interfaces for healthcare, wearables, and voice agents, while also breaking down significant accessibility barriers for the hearing-impaired community

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