Multi-Dimensional Prosody Judgment For Live Streaming Speech Synthesis
Evaluating live streaming speech synthesis (TTS) requires assessing fine-grained, highly expressive prosody such as emotion, intonation, and energy which traditional MOS predictors fail to capture. While proprietary Large Language Models (LLMs) like Gemini can evaluate these aspects, they are too costly for massive inference and reinforcement learning feedback. To address this, we first introduce Live-ProsodyJudge (LPJ), a cost-effective pairwise evaluator distilled from Gemini into Qwen3-Omni. However, we identify a critical flaw in standard multi-dimensional evaluation: verdict coupling. The judge tends to lazily align all individual dimension scores with its overall preference, collaps...
| Authors | Zifan Guan, Longyu Lu, Junan Zhang et al. |
|---|---|
| Primary category | cs.SD |
| Published | 17 September 2026 |
| Last updated at source | 17 September 2026 |
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