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。
如上图,CTC的linear classifier可以把它想成decoder,这个decoder每次只接收一个vector然后就要决定输出是什么,而且每一次输出决定是独立的。会有下述情况发生:假设前三个acoustic feature都对应到“c”,那第一个acoustic feature进来,输出“c”,第二个输出null,第三个就不能输出c了,就会变成两个c了,就结巴了...也...
所以说 LSTM + CTC 是编码器 + 解码器,不能算错,但没什么意思。2. 变长序列的端到端学习方法,...
最开始看了四五遍代码,当时感觉是,ctc decoder看懂了,所以写了几篇关于decoder的文章,但一直对于ctc loss关于扩充序列为 2|l|+1 不太理解,所以一直没敢写,昨天终于明白了,其实ctc loss的计算过程和ctc decoder的计算过程异曲同工,都分了尾部是blank和尾部不是blank两种情况去考虑,有意思的是论文的3.2节是这么写...
import numpy as np from ctc_decoder import best_path, beam_search mat = np.array([[0.4, 0, 0.6], [0.4, 0, 0.6]]) chars = 'ab' print(f'Best path: "{best_path(mat, chars)}"') print(f'Beam search: "{beam_search(mat, chars)}"') The output mat (numpy array, softmax alre...
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: ...
The invention can solve the problems that a CTC decoder can not realize flexible parallel processing and storage cost atreceiving and transmitting ends is overhigh.汪绍芳花文健金莹魏岳军CN101777923A Jan 9, 2009 Jul 14, 2010 华为技术有限公司 CTC (Convolutional Turbo Code) encoder, internal code ...
在Decoder时,每个时刻的解码状态跟Encoder的所有隐藏层状态进行cross-attention计算,cross-attention将当前解码的隐藏层状态和encoder的所有隐藏层状态做相关性计算,然后对encoder的所有隐藏层加权求和,最后和当前解码的隐藏层状态concat得到最终的状态。这里的cross-attention计算方式也为后来的Transformer框架打下了基础(详细看...
在此篇被 Interspeech 接收的论文中,来自阿里巴巴达摩院-机器智能技术团队的研究者们提出了一种自动纠错模型(Listener-Decoder-Speller,LDS),该模型采用 Transformer 作为纠错器,将前端基于 CTC 的语音识别系统的识别结果作为输入,可以自动纠正大量的识别错误,特别是识别结果中的替换错误。 论文地址: https://arxiv.org...
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: ...