Our experiments show that the method has excellent potential for improving sign language recognition accuracy. For instance, our newly proposed net ResNet152+FPN is able to enhance the detection accuracy up to 1.70% on the test dataset of sign language compared to the standard Detection Transformer...
在这篇文章中,作者介绍了一种无需手语单词注释(gloss)的手语翻译(Sign Language Translation,SLT)方法:GFSLT-VLP。在SLT任务出现之前,人们对于手语相关任务的探索多聚焦于手语识别(Sign Language Recognition,SLR),可以识别出手语视频中一系列手势对应的单词含义,但这种识别结果并不涉及手语本身具备的语言规则,所以健听...
Hidden Markov models (HMMs) have been used prominently and successfully in speech recognition and, more recently, in handwriting recognition. Consequently, they seem ideal for visual recognition of complex, structured hand gestures such as are found in sign language. We describe a real-time HMM-ba...
Since, in this modern era of advanced mobile technology, using a camera to take video or images is much easier, this study demonstrates a cost-effective technique to detect American Sign Language (ASL) using an image dataset. Here, “Finger Spelling, A” dataset has been used, with 24 ...
Real-Time American Sign Language Recognition Hidden Markov Models from Video UsingStarner, ThadPentland, Alex
SIGN LANGUAGE GESTURE RECOGNITION FROM VIDEO SEQUENCES USING RNN AND CNN The Paper on this work is published here Please do cite it if you find this project useful. :) UPDATE: Cleaner and understandable code. Replaced all manual editing with command line arguments. Removed Bugs due to changes...
pythonlanguagespeechpython3speech-recognitionsigncnn-kerascnn-modelsign-language-recognition-systemindian-sign-languagesign-language-translation UpdatedSep 7, 2024 Python Sing Language to text conversion of India Sign Language computer-visiondatasetalphabetskeras-tensorflowindian-sign-languagesing-language ...
由于传统手语识别(sign language recognition)具有VISigns(视觉上难以辨认标志)的问题,作者提出了一个新颖的框架NLA-SLR去提高手语识别准确率,这个框架利用自然文本语言去介入到训练过程,以期望得到更高的手语识别效果。最后是得到了一个sota(state-of-the-art)的性能。
An encoder-decoder deep learning model (with/without attention mechanism) where the input is an arabic sign-language video and the output is its translation in text format. - AI-14/video-captioning-for-arabic-sign-language-recognition-at-sentence-level
Neural Sign Language Translation 将手语视频翻译成口语是一种典型的序列到序列学习问题。我们的目标是学习条件概率p(y|x),即给定一个包含 T 帧的手语视频x = (x_1, x_2, ..., x_T),生成一个包含 U 个单词的口语句子y = (y_1, y_2, ..., y_U)。这并不是一个简单的任务,因为手语视频的帧数...