语料库应该是大的，丰富的，还是密集的？
Should Corpora be Big, Rich, or Dense?
摘要：
在本文中，我们问什么属性使一个大型语料库或多或少有用。我们认为，规模本身，不应该是建立语料库的最终目标。大规模的语料库被认为是可取的，因为它们提供了统计稳定性和丰富的变化。但这种丰富的变化意味着更多的因素来控制和评估，这可能会限制规模的优势。我们讨论了使用多通道数据来补充大规模语音语料库。尽管多通道数据可能会限制语料库的规模（由于数据汇集的复杂性和劳动密集型），但它们可以提供信息，使我们能够梳理出与语音产生相关的各种因素。
英文摘要：
In this paper, we ask what properties makes a large corpus more or less useful. We suggest that size, by itself, should not be the ultimate goal of building a corpus. Large-scale corpora are considered desirable because they offer statistical stability and rich variation. But this rich variation means more factors to control and evaluate, which can limit the advantages of size. We discuss the use of multi-channel data to complement large-scale speech corpora. Even though multi-channel data may limit the scale of a corpus (due to the complex and labor-intensive nature of data collection) they can offer information that allows us to tease apart various factors related to speech production.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
