In this paper, we formulate Chinese sign language recognition (SLR) as a sequence to sequence problem and propose an encoder-decoder based framework to handle it. The proposed framework is based on the convolutional neural network (CNN) and recurrent neural network (RNN) with long short-term ...
However, due to the complexity of the contemporary Chinese language, CSLR generally has a lower accuracy than other SLR. It is necessary to establish an appropriate dataset to conduct comparable experiments. The issue of decreasing accuracy as the dataset increases needs to resolve. Overall, our ...
2. Train synthesizer with your dataset Download aidatatang_200zh or SLR68 dataset and unzip: make sure you can access all .wav intrainfolder Preprocess with the audios and the mel spectrograms:python synthesizer_preprocess_audio.py <datasets_root>Allow parameter--dataset {dataset}to support ada...
2. Train synthesizer with your dataset Download aidatatang_200zh or SLR68 dataset and unzip: make sure you can access all .wav in train folder Preprocess with the audios and the mel spectrograms: python synthesizer_preprocess_audio.py <datasets_root> Allow parameter --dataset {dataset} to su...
Init to support Chinese Dataset. 4年前 requirements.txt Init to support Chinese Dataset. 4年前 synthesizer_preprocess_audio.py rename slr68 to magicdata to keep consistent naming convention 4年前 synthesizer_preprocess_embeds.py Init to support Chinese Dataset. ...
The empirical results of the proposed method outperform significantly the state-of-the-art SLR systems on our dataset containing 310 Chinese sign language words. 展开 关键词: Efficient keyframe centered clip (KCC key information sequence-to-sequence sign language recognition (SLR ...
still needs further validations of every factor; for example, the K-factor estimation based on the EPIC model could be compared with measured data in some specific areas. However, the lack of sufficient measurement data for comparison disturbs the subsequent dataset verification....
BAUST Lipi: A BdSL Dataset with Deep Learning Based Bangla Sign Language Recognition we devised a hybrid Convolutional Neural Network (CNN) model, integrating multiple convolutional layers, activation functions, dropout techniques, and LSTM layer... M Hadiuzzaman,MS Ali,T Sultana,... 被引量: 0...
2. Train synthesizer with your dataset Download aidatatang_200zh or SLR68 dataset and unzip: make sure you can access all .wav in train folder Preprocess with the audios and the mel spectrograms: python synthesizer_preprocess_audio.py <datasets_root> Allow parameter --dataset {dataset} to su...
2. Train synthesizer with your dataset Download aidatatang_200zh or SLR68 dataset and unzip: make sure you can access all .wav intrainfolder Preprocess with the audios and the mel spectrograms:python synthesizer_preprocess_audio.py <datasets_root>Allow parameter--dataset {dataset}to support ada...