In many species of songbirds, juvenile males learn their songs from adult male tutors. In this paper we formulate a novel Markov model for birdsong transmission developed by analogy with models used in biological sequence analysis. We fit the model using the recently developed Interacting Particle Langevin Algorithm (IPLA) of Akyildiz et al. (arXiv:2303.13429) and analyse a collection of songs from Java sparrows (Lonchura oryzivora) originally recorded and studied by Masayo Soma and her collaborators. The model proves to have limited predictive power for a number of natural problems associated with song transmission in Java sparrows and we propose reasons for this, including the well-established faithfulness of song-learning and the comparative brevity of Java sparrow songs.

翻译：在许多鸣禽物种中，幼年雄性个体通过向成年雄性导师学习而习得其鸣唱。本文通过类比生物序列分析中使用的模型，构建了一种新颖的鸟类鸣声传播马尔可夫模型。我们采用Akyildiz等人（arXiv:2303.13429）最新开发的交互粒子朗之万算法（IPLA）对模型进行拟合，并分析了由Masayo Soma及其合作者最初录制并研究的爪哇禾雀（Lonchura oryzivora）鸣声数据集。该模型在预测爪哇禾雀鸣声传播相关的若干自然问题时表现出有限的预测能力，我们对此提出了解释，包括已得到充分证实的鸣声学习保真度以及爪哇禾雀鸣唱相对简短的特征。