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Taming Voice Complexity with Dynamic Ensembles at Modulate
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Summary In this episode of the AI Engineering Podcast, Carter Huffman, co-founder and CTO of Modulate, discusses the engineering behind low-latency, high-accuracy Voice AI. He explains why voice is a uniquely challenging modality due to its rich non-textual signals like tone, emotion, and context, and how simple speech-to-text-to-speech pipelines can't capture the necessary nuance. Carter introduces Modulate's Ensemble Listening Model (ELM) architecture, which uses dynamic routing and cost-based optimization to achieve scalability and precision in various audio environments. He covera topics such as reliability under distributed systems constraints, watchdogging with periodic model checks,…