Corvin Siloé, Fauchon Camille, Patural Hugues, Peyron Roland, Reby David, Theunissen Frédéric, Mathevon Nicolas
ENES Bioacoustics Research Lab, CRNL, University of Saint-Etienne, CNRS, Inserm, Saint-Etienne, France.
Université Jean-Monnet-Saint-Etienne, INSERM, CNRS, UCBL, CRNL U1028, NeuroPain team, 42023 Saint-Etienne, France.
iScience. 2024 Jun 24;27(7):110375. doi: 10.1016/j.isci.2024.110375. eCollection 2024 Jul 19.
Baby cries can convey both static information related to individual identity and dynamic information related to the baby's emotional and physiological state. How do these dimensions interact? Are they transmitted independently, or do they compete against one another? Here we show that the universal acoustic expression of pain in distress cries overrides individual differences at the expense of identity signaling. Our acoustic analysis show that pain cries, compared with discomfort cries, are characterized by a more unstable source, thus interfering with the production of identity cues. Machine learning analyses and psychoacoustic experiments reveal that while the baby's identity remains encoded in pain cries, it is considerably weaker than in discomfort cries. Our results are consistent with the prediction that the costs of failing to signal distress outweigh the cost of weakening cues to identity.
婴儿哭声既能传达与个体身份相关的静态信息，也能传达与婴儿情绪和生理状态相关的动态信息。这些维度是如何相互作用的？它们是独立传递，还是相互竞争？在这里，我们表明，痛苦时哭声中普遍存在的声学表达压倒了个体差异，代价是身份信号传递。我们的声学分析表明，与不适哭声相比，痛苦哭声的特点是声源更不稳定，从而干扰了身份线索的产生。机器学习分析和心理声学实验表明，虽然婴儿的身份仍编码在痛苦哭声中，但比在不适哭声中要弱得多。我们的结果与这样的预测一致，即未能发出痛苦信号的代价超过了削弱身份线索的代价。
