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From Metrics to Natural Dialogue: French Full-Duplex Benchmark for Spoken Dialogue Models
Full-duplex spoken dialogue models aim to make voice agents more natural by allowing them to listen, speak, pause, and respond during ongoing conversation. However, it is not clear whether full-duplex benchmarks behave the same way when models are evaluated in a different language. To investigate th
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