MagpieTTS-LF enables long-form speech generation without retraining

Researchers have developed MagpieTTS-LF, a novel approach to generating long-form speech with improved coherence and consistency. This method allows the existing MagpieTTS system to produce extended audio without requiring retraining on long-form data. Key innovations include soft attention priors for better alignment, a stateful inference algorithm to maintain prosodic continuity across sentence boundaries, and text encoding that considers past context for discourse-level prosody. AI

IMPACT This research could lead to more natural and coherent long-form speech synthesis for applications like audiobooks and podcasts.

RANK_REASON The cluster contains an academic paper detailing a new method for speech generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• MagpieTTS
• MagpieTTS-LF

• paper
• model release

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