Feb. 27, 2024, 5:42 a.m. | Xingyuan Li, Sinong Wang, Zeyu Xie, Mengyue Wu, Kenny Q. Zhu

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.15985v1 Announce Type: cross
Abstract: This paper delves into the pioneering exploration of potential communication patterns within dog vocalizations and transcends traditional linguistic analysis barriers, which heavily relies on human priori knowledge on limited datasets to find sound units in dog vocalization. We present a self-supervised approach with HuBERT, enabling the accurate classification of phoneme labels and the identification of vocal patterns that suggest a rudimentary vocabulary within dog vocalizations. Our findings indicate a significant acoustic consistency in these identified …

abstract analysis arxiv communication cs.cl cs.lg cs.sd datasets discovery dog eess.as enabling exploration human knowledge language paper patterns sound type units

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