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I see what you hear: a vision-inspired method to localize words. (arXiv:2210.13567v1 [cs.CV])
Oct. 26, 2022, 1:11 a.m. | Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
cs.LG updates on arXiv.org arxiv.org
This paper explores the possibility of using visual object detection
techniques for word localization in speech data. Object detection has been
thoroughly studied in the contemporary literature for visual data. Noting that
an audio can be interpreted as a 1-dimensional image, object localization
techniques can be fundamentally useful for word localization. Building upon
this idea, we propose a lightweight solution for word detection and
localization. We use bounding box regression for word localization, which
enables our model to detect the …
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