  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.
