Building a Universal Speech Model: Native Accuracy Across 60+ Languages
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…
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