# OpenBMB/UltraEval-Audio

<https://repo.masters-masters.com/en/repos/OpenBMB/UltraEval-Audio>

[Home](https://repo.masters-masters.com/en) › [OpenBMB](https://repo.masters-masters.com/en/owners/OpenBMB) › [UltraEval-Audio](https://repo.masters-masters.com/en/repos/OpenBMB/UltraEval-Audio)

OpenBMB/UltraEval-Audio has 328 stars on GitHub. Its RepoMasters card: Alpha tier. Your faithful, impartial partner for audio evaluation — know yourself, know…

| Field | Value |
| --- | --- |
| Owner | [OpenBMB](https://repo.masters-masters.com/en/owners/OpenBMB) |
| Stars | 328 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | evaluation, speech-recognition, speech-to-speech, speech-to-text, asr, audio-codec, benchmark, llm-evaluation, tts, voice-cloning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [OpenBMB/UltraEval-Audio](https://github.com/OpenBMB/UltraEval-Audio) |

## Repository

Your faithful, impartial partner for audio evaluation — know yourself, know your rivals. 真实评测，知己知彼。A unified benchmark framework for ASR/TTS/Audio Codec/audio LLM evaluation

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.