Hui519/SpeechEval
SpeechEval SpeechEval is a large-scale multilingual dataset for general-purpose, interpretable speech quality evaluation, introduced in the paper: SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation It is designed to train and evaluate Speech LLMs acting as “judges” that can explain their decisions, compare samples, suggest improvements, and detect deepfakes. 1. Dataset Overview Utterances: 32,207 unique speech clips… See the full description on the dataset page: https://huggingface.co/datasets/Hui519/SpeechEval.
| Author / organization | Hui519 |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 26 July 2025 |
| Last updated at source | 7 April 2026 |
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Recent changes
- 16 Oct 2026 Description: SpeechEval SpeechEval is a large-scale multilingual dataset for general-purpose, interpretable speech quality evaluation, introduced in the paper: SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation It is design → SpeechEval SpeechEval is a large-scale multilingual dataset for general-purpose, interpretable speech quality evaluation, introduced in the paper: SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation It is design
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.