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WWWWxp merged 1 commit into from
Aug 10, 2026
Merged

Clarify LibriSpeech-PC benchmark source #5

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11 changes: 7 additions & 4 deletions README.md
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Expand Up @@ -8,7 +8,7 @@ is a Fréchet distance; lower is better.

All models are evaluated with the same SLIP protocol. Lower is better.

| VAE | Frame rate (Hz) | Latent dim | SeedTTS-Eval | LibriSpeech-PC |
| VAE | Frame rate (Hz) | Latent dim | SeedTTS-Eval | LibriSpeech-PC test-clean |
| --- | ---: | ---: | ---: | ---: |
| [Semantic-VAE (dim 16)](https://github.com/ZhikangNiu/Semantic-VAE) | 40 | 16 | **0.2025** | **0.1778** |
| [KVAE-Audio](https://github.com/kandinskylab/kvae-audio) | 50 | 64 | 0.2066 | 0.2428 |
Expand All @@ -30,8 +30,9 @@ All models are evaluated with the same SLIP protocol. Lower is better.
| [SAME-S](https://github.com/Stability-AI/stable-audio-3) | 10.77 | 256 | 1.5220 | 1.7352 |
| [AudioLDM](https://github.com/haoheliu/AudioLDM) | 25 | 128 | 1.8676 | 2.2150 |

SeedTTS-Eval contains 3,108 evaluated utterances and LibriSpeech-PC contains 1,127. Exact values and source links are
available in [`leaderboard.csv`](leaderboard.csv).
SeedTTS-Eval contains 3,108 evaluated utterances. LibriSpeech-PC test-clean contains the 1,127 target utterances from
the [F5-TTS cross-sentence evaluation list](https://github.com/SWivid/F5-TTS/blob/main/data/librispeech_pc_test_clean_cross_sentence.lst).
Exact values and model links are available in [`leaderboard.csv`](leaderboard.csv).

## Installation

Expand All @@ -53,7 +54,9 @@ slip datasets prepare-seedtts \
--output data/seedtts-eval-v1
```

Or download [LibriSpeech-PC](https://huggingface.co/datasets/AudioLLMs/librispeech_test_clean):
Or prepare LibriSpeech-PC test-clean. The target set follows the
[F5-TTS cross-sentence list](https://github.com/SWivid/F5-TTS/blob/main/data/librispeech_pc_test_clean_cross_sentence.lst),
with audio obtained from [AudioLLMs/librispeech_test_clean](https://huggingface.co/datasets/AudioLLMs/librispeech_test_clean):

```bash
slip datasets download-librispeech-pc \
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