弱监督ASR数据质量难保证？新方法用过滤与选择机制提升大规模训练效果，附实验验证。
arXiv:2606.28728v1 Announce Type: cross Abstract: Leveraging large-scale weakly supervised datasets is crucial to train robust end-to-end automatic sp…
利用Audio-LLMs智能过滤低质量数据，大幅提升语音到语音翻译模型的训练效率与效果，INTERSPEECH 2026录用论文。
arXiv:2606.13507v1 Announce Type: new Abstract: Large-scale mined corpora provide abundant training data for end-to-end speech-to-speech translation (…
训练大模型的数据质量怎么保证？这篇论文系统梳理了主流数据过滤方法，想做高效训练的不要错过。
arXiv:2605.29807v1 Announce Type: cross Abstract: Data quality is a critical factor in the effectiveness of machine learning models. Label errors, pre…