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ASR_Theory
语音识别理论、论文和PPTASR_Syllable
基于卷积神经网络的语音识别声学模型的研究kaggle-cats-and-dogs
采用深度学习方法进行图像识别,数据集为kaggle数据集中的猫与狗数据集。video-action-recognition
视频动作识别,基于C3D网络构建image-recognition
采用深度学习方法进行刀具识别。ASR_Phone
以音素建模构建NN-CTC声学模型agriculture_recognition
AI挑战赛,农作物识别,已经做好数据处理,模型训练等部分,由于时间原因交由实验室师弟进行优化。cloud-recognition
采用深度学习方法,进行6分类云彩识别,识别率为73.17%,比赛用NMT_Keras
Using seq2seq to convert Spanish to EnglishPytorch_Learning
采用Pytorch深度学习框架,使用MNIST数据集进行实验stcmds-kaldi
nn-hmm for stcmdsASR_Transformer
A Pytorch implementation of Speech Transformer, an End-to-End Automatic Speech Recognition with Transformer Network, Which directly converts acoustic features to character sequence using a signal neural network.face-recognition
采用深度学习Triplet网络进行人脸识别,参照师兄留下的脚本进行一步一步分析。keras-self-attention
Attention mechanism for processing sequential data that considers the context for each timestamp.bert
TensorFlow code and pre-trained models for BERTSparseSelfAttention
Sparse Attention Mechanism, accepted in KSC 2019Voiceprint_Recognition
Just for DACAS 2019 and for studying AIasr
中文语音识别系统,在西安电子科技大学某位大神的脚本上进行改进模型。Love Open Source and this site? Check out how you can help us