One of the trickiest problems you run into with voice AI in the real world is that people often call in messy environments.
There might be other voices in the background, or the person might be talking to other people at the same time.
Super cool work from Decagon Labs on how we've tackled this problem!
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Conversational voice agents need to know when a different person is speaking, but not every background voice should count.
We combined speaker embeddings with a post-trained audio-language model to determine when a speaker change matters.
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