抹香鲸尾音的深层节律:从点击波形到尾音序列的双层声学组织研究
Rhythm of the Deep: Two-tier acoustic organization of sperm-whale codas from click waveforms to coda sequences
AI 导读
一项 arXiv 研究分析了 1,483 条抹香鲸尾音,发现抹香鲸的尾音存在双层声学组织。研究用冻结的预训练音频编码器发现,尾音内部点击声音携带超出时序的信息,整体尾音还存在常规时序分类无法完全捕捉的重复声学形式。在序列层面,已知最后两个尾音比只知道最后一个能更好预测后续,说明尾音内部由声学构成与节律时序组织,尾音之间则存在预测性关系。
正文 · 原文
Abstract:Sperm-whale codas are usually described by the number and timing of their clicks. These measures have revealed patterns in whale communication, but leave open how click sound contributes beyond timing and whether the order of whole codas carries additional structure. We investigate these questions through two tiers of acoustic organization, first within codas and then across coda sequences. Frozen pretrained audio encoders provide a framework for measuring acoustic variation beyond timing. We use them to identify recurring forms independently for clicks and whole codas in 1,483 codas, then validate their differences through direct waveform measurements. Within codas, click sound provides information beyond timing alone, while timing remains informative when click composition is held fixed. At the level of complete codas, we also find recurring acoustic forms whose differences are not fully captured by conventional timing-based types. With these forms identified, we examine how ordering contributes at each tier. Within codas, click-form order adds little predictive information beyond composition. Across codas, knowing the last two codas improves prediction over knowing only the last one. Together, these findings support two tiers with different organizing rules: acoustic composition and rhythmic timing within codas, and predictive relationships among whole codas across recorded sequences.
| Comments: | 12 pages, 4 figures, 1 table |
| Subjects: | Artificial Intelligence (cs.AI); Computation and Language (cs.CL) |
| Cite as: | arXiv:2606.16084 [cs.AI] |
| (or arXiv:2606.16084v4 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2606.16084 arXiv-issued DOI via DataCite |
Submission history
From: Mudit Sinha [view email]
[v1]
Mon, 15 Jun 2026 00:49:18 UTC (920 KB)
[v2]
Sat, 1 Aug 2026 06:25:08 UTC (223 KB)
[v3]
Tue, 15 Sep 2026 03:21:08 UTC (5,919 KB)
[v4]
Sat, 24 Oct 2026 04:10:07 UTC (1,604 KB)
来源:arXiv cs.AI · arxiv.org