EMNLP 2024finding0 citations
Phonetic and Lexical Discovery of Canine Vocalization
Theron S. Wang, Xingyuan Li, Chunhao Zhang, Mengyue Wu, Kenny Q. Zhu
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”.
BibTeX
@inproceedings{wang-etal-2024-phonetic,
title = "Phonetic and Lexical Discovery of Canine Vocalization",
author = "Wang, Theron S. and
Li, Xingyuan and
Zhang, Chunhao and
Wu, Mengyue and
Zhu, Kenny Q.",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.816/",
doi = "10.18653/v1/2024.findings-emnlp.816",
pages = "13972--13983"
}