| [SPEAKER0] You're training HiggsAudio again? Aren't you tired of staring at it all day? |
| [SPEAKER1] Ha! This time, I'm trying to get it to generate multi-speaker dialogues. |
| [SPEAKER0] Oh, so you want it to sound like a real conversation with multiple people? That sounds… tricky. |
| [SPEAKER1] It is. The biggest challenge is making sure it understands who's speaking and when. We need a solid dataset with real conversations, including interruptions and natural flow. |
| [SPEAKER0] Right, because real conversations aren't just people taking turns like robots. There are overlaps, hesitations, and sudden topic changes. |
| [SPEAKER1] Exactly! That's why we need speaker diarization — so the model knows when one speaker stops and another starts, even if they overlap. |
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