在本文中,我们介绍序列解码中的束搜索 (beam search) 技巧,详细拆解束搜索的每一步细节和每一步代码实现,并应用到语音识别的例子中。 相关前置知识:Python、PyTorch、Transformer基础、语音识别基础。 本文共约18000字,阅读需约45分钟,建议PC端阅读。 本文所有代码已开源,链接如下。 https://github.com/xiabingquan...
集束搜索(beam search): 集束搜索可以认...深度学习:自然语言生成-集束搜索beam search和随机搜索random search http://blog.csdn.net/pipisorry/article/details/78404964 当我们训练完成一个自然语言生成模型后,需要使用这个模型生成新的语言(句子),如何生成这些句子,使用如下的方法:采样,集束搜索,随机搜索。 采样...
论文在Word Beam Search A Connectionist Temporal Classification Decoding Algorithm 对应的github项目在githubharald/CTCWordBeamSearch。项目一共提供了三种实现方式:TensorFlow、C++和Python,由于Python容易实现,这里选取py文件夹进行分析。 缘起 最近项目碰到很多难点,让我对CTC的机制产生了疑问,反而觉得Attention很有必要了...
Updated Dec 22, 2024 Python vvikasreddy / lexically_constrained_beam_search_ Star 0 Code Issues Pull requests Implementation of a constrained beam search algorithm for Turkish-to-English machine translation using the MarianMT model and WMT dataset, following the approach outlined in Hokamp and...
We have developed a new approach to the beam search algorithm, which we have named parsing search . This approach is used in code generation with parsing of sequentially generated code. We tested the algorithm on programming problems from a question-answering community. Our implementation uses the...
Python: retval = cv.text_OCRBeamSearchDecoder.run( image, min_confidence[, component_level] ) retval = cv.text_OCRBeamSearchDecoder.run( image, mask, min_confidence[, component_level] ) Recognize text using Beam Search. Takes image on input and returns recognized text in the output_text pa...
CTC Word Beam Search Decoding Algorithm CTC decoder with dictionary and language model for TensorFlow | C++ implementation | Python implementation A First Example The following code-skeleton gives a first impression of how to use the decoding algorithm with TensorFlow (TF). More details can be found...
The system model and problem formulation section delineates the mathematical models and foundational theory pertinent to addressing the codebook beam pair selection challenge, focusing on the exhaustive beam search algorithm. The proposed method section exposes the proposed technique in-depth, encompassing ...
As shown in Table1, a range of Hyperparameters have been adjusted to optimize both the computational efficiency and the predictive performance of the two studied models. A random search was conducted with these parameters; the search was run for 60 iterations for 3D U-Net and 20 for 3D Atten...
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python. - githubharald/CTCDecoder