To install the decoder: git clone https://github.com/Slyne/ctc_decoder.git apt-get update apt-get install swig apt-get install python3-devcdctc_decoder/swig&&bash setup.sh Usage Please refer toswig/test/test_en.pyandswig/test/test_zh.pyfor how to do streaming decoding and offline decodi...
is passed as the first argument to the decoders. T is the number of time-steps, and C the number of characters (the CTC-blank is the last element). The characters that can be predicted by the neural network are passed as thecharsstring to the decoder. Decoders return the decoded ...
The below installation also works for Google Colab. # get the codegitclone--recursive https://github.com/parlance/ctcdecode.gitcdctcdecode && pip install . How to Use fromctcdecodeimportCTCBeamDecoder decoder = CTCBeamDecoder( labels, model_path=None, alpha=0, beta=0, cutoff_top_n=40, cuto...
https://github.com/nanoporetech/fast-ctc-decode ASR Inference with CTC Decoder(对torch和torchaudio...
这里newProbabilityNoBlank大致相当于 ln(x_{1})+ln(x_{2})+...+ln(x_{r}),probabilityNoBlank 相当于 ln(y_{1})+ln(y_{2})+...+ln(y_{r-1}),p相当于 ln(y_{r})。以下是三种ctc decoder的比较,实现代码在我的github里compareCTCDecoder。
飞桨2.0 CTC Decoder 相关API正在迁移中,本节暂时使用ppcuop中API进行解码。 Tips:ppcuop目前有多位PPDE共同维护,可放心使用,支持我们的话希望可以点个Star~ In [ ] from ppcuop.ctc_decoder import CTCDecoder # 实例化推理模型 model = pp.Model(Net(is_infer=True), inputs=input_define) # 加载训练好的...
无论是在cnn-ctc还是在gru-ctc模型训练均出现问题,cnn-ctc是不收敛,而gru-ctc是出现aishell测试集识别率极低的问题;此外该项目作者Github貌似停止维护 Reference: [1]http://placebokkk.github.io/asr/2020/02/01/asr-ctc-decoder.html [2]https://www.cs.toronto.edu/~graves/icml_2006.pdf ...
需要注意的是ctc_beam_search_decoder是非常耗时的. 和greedy_decoder的区别是,greedy_decoder根据当前序列预测下一个字符,并且取概率最高的作为结果,再此基础上再进行下一次预测。而beam_search_decoder每次会保存取k个概率最高的结果,以此为基础再进行预测,并将下一个字符出现的概率与当前k个出现的概率相乘,这样就...
首先,在github上下载CRNN源代码(https://github.com/Belval/CRNN),可直接下载成zip压缩包或者git克隆 git clone https://github.com/Belval/CRNN.git (2)准备基础数据 使用第1节LSTM+CTC介绍的方法随机生成10000张不定长图片+椒盐噪声作为基础数据集,具体详见第1节的生成基础数据代码,在此不再重复。注意,由...
In this work, we propose an efficient CNN-Transformer Cooperation Network (CTCNet) for face super-resolution tasks, which uses the multi-scale connected encoder-decoder architecture as the backbone. Specifically, we first devise a novel Local-Global Feature Cooperation Module (LGCM), which is ...