Does My Dog ''Speak'' Like Me? The Acoustic Correlation between Pet Dogs and Their Human Owners
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Abstract (arXiv)
How hosts language influence their pets' vocalization is an interesting yet underexplored problem. This paper presents a preliminary investigation into the possible correlation between domestic dog vocal expressions and their human host's language environment. We first present a new dataset of Shiba Inu dog vocals from YouTube, which provides 7500 clean sound clips, including their contextual information of these vocals and their owner's speech clips with a carefully-designed data processing pipeline. The contextual information includes the scene category in which the vocal was recorded, the dog's location and activity. With a classification task and prominent factor analysis, we discover significant acoustic differences in the dog vocals from the two language environments. We further identify some acoustic features from dog vocalizations that are potentially correlated to their host language patterns.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 30 references that are in the map. First posted on arXiv 21 Sep 2023.
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References · 9
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2016Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learningcited by 1,509
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
- 2022OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Frameworkcited by 742
- 2019PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognitioncited by 563
- 2019pyannote.audio: neural building blocks for speaker diarizationcited by 175
- 2021End-to-end speaker segmentation for overlap-aware resegmentationcited by 76
- 2018Who Let The Dogs Out? Modeling Dog Behavior From Visual Datacited by 20
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