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Pyannote. audio: neural building blocks for speaker diarization

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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2026 1 2025 1

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CONDITIONAL 2

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ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching

eess.AS · 2025-07-12 · conditional · novelty 6.0

ZipVoice-Dialog is a flow-matching non-autoregressive model for zero-shot spoken dialogue generation that uses curriculum learning and speaker-turn embeddings, paired with a new 6.8k-hour OpenDialog dataset, and reports better speed and quality than autoregressive baselines.

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