研究人员开发了一种计算方法，通过提取音调、语速和响度等声音和声学特征来分析有声读物旁白的吸引力。利用LibriVox的数据，该研究发现，即使考虑了体裁和标题，这些音频特征也与有声读物的消费显著相关。这项工作代表了首次将旁白特质与有声读物吸引力联系起来的系统性研究，预示着在有声读物个性化和旁白选择方面实现数据驱动改进的潜力。 AI
影响 预示着在有声读物个性化和旁白选择方面实现数据驱动改进的潜力。
排序理由 学术论文发表在arXiv上。[lever_c_demoted from research: ic=1 ai=0.7]
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arXiv:2607.02473v1 Announce Type: new Abstract: Narration is central to the audiobook listening experience, shaping how listeners engage with and understand the content. This work explores how narration qualities shape an audiobook's appeal, noting that their effects can vary by …
Narration is central to the audiobook listening experience, shaping how listeners engage with and understand the content. This work explores how narration qualities shape an audiobook's appeal, noting that their effects can vary by genre, title, and audience. We extract vocal and…