LongTensor([seq_len]) decoder_vocab = [chr(x) for x in range(20000, 20000 + output_dim)] second_time = time.time() decoder = ctcdecode.CTCBeamDecoder(decoder_vocab, beam_width=5, blank_id=0, num_processes=10) pred_seq, scores, _, out_seq_len = decoder.decode(dec_logits, len...
decoder_utils.h:55: Error: Syntax error in input(1). running install 最终安装成功了 Processing dependencies for swig-decoders==0.1 Finished processing dependencies for swig-decoders==0.1 但是执行python -c "import swig_decoders"还是报以下错误: Traceback (most recent call last): File "", ...
This is an example CTC decoder written in Python. The code is intended to be a simple example and is not designed to be especially efficient. The algorithm is a prefix beam search for a model trained with the CTC loss function. For more details checkout either of these references: https:...
这将使你可以很好地理解在TensorFlow中调用ctc_loss或ctc_greedy_decoder等函数时,幕后发生了什么。然而,当你想要自己实现CTC时,你需要了解更多的细节,尤其是想使它运行得更快。Graves等人[1]介绍了CTC运算,并给出了所有相关的数学计算。如果你对如何改进解码感兴趣,请参阅有关beam-search解码的文章。我用Python和c...
This is an example CTC decoder written in Python. The code is intended to be a simple example and is not designed to be especially efficient. The algorithm is a prefix beam search for a model trained with the CTC loss function. For more details checkout either of these references: ...
(raw logits), you either need to pass it through an additionaltorch.nn.functional.softmaxor you can passlog_probs_input=Falseto the decoder. Your output should be BATCHSIZE x N_TIMESTEPS x N_LABELS so you may need to transpose it before passing it to the decoder. Note that if you ...
正如之前提到的,CTC建设输出序列中的字符都是条件性独立的,这是Encoder-Decoder模型应用于CTC的最大优势之一——它们可以模拟对输出的依赖。然而在实践中,CTC在语音识别等任务中仍然比较常用,因为我们可以通过外部语言模型来克服部分假设。 一些实用技巧 现在我们对CTC已经有了概念上的理解,接下来,我会介绍一些从业人员...
在第一遍中,CTC decoder 以流式模式进行运行。在第二遍中,shared decoder和CTC decoder的输出被使用...
PyTorch CTC Decoder bindings. Contribute to parlance/ctcdecode development by creating an account on GitHub.
以下是一个简单的 Python 代码实现来说明如何基于联合 CTC/attention 损失进行解码:import numpy as np ...