Sign language recognition can provide excellent platform for the hearing-impaired people in society. In day-to-day life physically challenged people face problem to communicate with normal people. There are many research works done for sign language recognition, but there is, lack of availability of...
Sign language recognition aims to recognize meaningful movements of hand gestures and is a significant solution in intelligent communication between the de... Y Liao,P Xiong,W Min,... - 《IEEE Access》 被引量: 0发表: 2019年 Coupled grouping and matching for sign and gesture recognition 5.1....
Python Ukrainian Traffic Sign Classification CNN with Custom Dataset for 2023 Course Paper python cnn ukrainian trafficsignclassification customdataset Updated May 29, 2023 Python abhiverse01 / project-codebeing Star 3 Code Issues Pull requests project-codebeing data-science natural-language-proce...
The size of the resulting training set (VoxLingua107) is 6628 hours (62 hours per language on the average) and it is accompanied by an evaluation set of 1609 verified utterances. We use the data to build language recognition models for several spoken language identification tasks. Experiments ...
Number of participant students: 218 Number of samples per student: 10 Project Executives: Zeynep Dikle & Arda Mavi Turkey Ankara Ayrancı Anadolu High School Students For Development: Processing Dataset: For processing the dataset, look up Arda Mavi's GitHub Gist:gist.github.com/ardamavi/get_...
The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English transcripts, and dept
For various language processing tasks, abbreviation is an obstacle to improving the performance, as the textual form of an abbreviation does not express useful information, unless it's expanded to the full form. Abbreviation prediction means associating the fully expanded forms with their abbreviations...
Video-Language Grounding Baselines This repository contains the code for the baselines used in the main paper. To reproduce the results and use our code follow these two links: Zero Shot CLIP (link) VLG-Net (link) Support for additional visual/linguistic features ...
The Oracle Secure Backupdatasetlanguage provides a simple, text-based means to define file-system data to back up. The language has the following characteristics: Comments can appear anywhere following a pound sign (#). Dataset statements use the following syntax: ...
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