This study investigates the Lombard effect, where individuals adapt their speech in noisy environments. We introduce an enhanced Mandarin Lombard grid (EMALG) corpus with meaningful sentences , enhancing the Mandarin Lombard grid (MALG) corpus. EMALG features 34 speakers and improves recording setups, addressing challenges faced by MALG with nonsense sentences. Our findings reveal that in Mandarin, meaningful sentences are more effective in enhancing the Lombard effect. Additionally, we uncover that female exhibit a more pronounced Lombard effect than male when uttering meaningful sentences. Moreover, our results reaffirm the consistency in the Lombard effect comparison between English and Mandarin found in previous research.

翻译：摘要：本研究探讨了伦巴第效应，即个体在嘈杂环境中调整其语音的现象。我们引入了一个增强型中文伦巴第网格（EMALG）语料库，其中包含有意义句子，从而改进了中文伦巴第网格（MALG）语料库。EMALG语料库包含34位发音人并优化了录音设置，解决了MALG语料库中无意义句子所面临的挑战。研究结果表明，在中文中，有意义的句子更能有效增强伦巴第效应。此外，我们发现，在说出有意义句子时，女性比男性展现出更显著的伦巴第效应。而且，我们的结果再次证实了先前研究中关于英语与中文之间伦巴第效应比较的一致性。