bsmu/MLC-SLM-Eval

Interspeech2025 Multilingual Conversational Speech Language Model (MLC-SLM) Eval Groundtruth

🖥️ Overview

In the MLC-SLM challenge, we only provided the participants with the audio files of the Eval sets.

Now, we release the oracle segmentation, speaker labels, and transcriptions of the Eval sets to facilitate further research by all participants on the MLC-SLM dataset！

In addition, the MLC-SLM challenge summary paper "Summary on The Multilingual Conversational Speech Language Model Challenge: Datasets, Tasks, Baselines, and Methods" has been finished.

If you find the MLC-SLM dataset helpful for your research, you are welcome to cite this paper.

📚 Citation

@article{mu2025summary,
  title={Summary on The Multilingual Conversational Speech Language Model Challenge: Datasets, Tasks, Baselines, and Methods},
  author={Mu, Bingshen and Guo, Pengcheng and Sun, Zhaokai and Wang, Shuai and Liu, Hexin and Shao, Mingchen and Xie, Lei and Chng, Eng Siong and Xiao, Longshuai and Feng, Qiangze and others},
  journal={arXiv preprint arXiv:2509.13785},
  year={2025}
}