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    <abstract>This paper attempts to discover communication patterns automatically within dog vocalizations in a data-driven approach, which breaks the barrier previous approaches that rely on human prior knowledge on limited data. We present a self-supervised approach with HuBERT, enabling the accurate classification of phones, and an adaptive grammar induction method that identifies phone sequence patterns that suggest a preliminary vocabulary within dog vocalizations. Our results show that a subset of this vocabulary has substantial causality relations with certain canine activities, suggesting signs of stable semantics associated with these “words”.</abstract>
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%0 Conference Proceedings
%T Phonetic and Lexical Discovery of Canine Vocalization
%A Wang, Theron S.
%A Li, Xingyuan
%A Zhang, Chunhao
%A Wu, Mengyue
%A Zhu, Kenny Q.
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F wang-etal-2024-phonetic
%X This paper attempts to discover communication patterns automatically within dog vocalizations in a data-driven approach, which breaks the barrier previous approaches that rely on human prior knowledge on limited data. We present a self-supervised approach with HuBERT, enabling the accurate classification of phones, and an adaptive grammar induction method that identifies phone sequence patterns that suggest a preliminary vocabulary within dog vocalizations. Our results show that a subset of this vocabulary has substantial causality relations with certain canine activities, suggesting signs of stable semantics associated with these “words”.
%R 10.18653/v1/2024.findings-emnlp.816
%U https://aclanthology.org/2024.findings-emnlp.816
%U https://doi.org/10.18653/v1/2024.findings-emnlp.816
%P 13972-13983

Markdown (Informal)

[Phonetic and Lexical Discovery of Canine Vocalization](https://aclanthology.org/2024.findings-emnlp.816) (Wang et al., Findings 2024)

• Phonetic and Lexical Discovery of Canine Vocalization (Wang et al., Findings 2024)

ACL

• Theron S. Wang, Xingyuan Li, Chunhao Zhang, Mengyue Wu, and Kenny Q. Zhu. 2024. Phonetic and Lexical Discovery of Canine Vocalization. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 13972–13983, Miami, Florida, USA. Association for Computational Linguistics.