Sequence Modeling With CTC
CTC(Connectionist Temporal Classification)一种用于训练深度神经网络在语音识别，笔迹识别等序列问题的算法。 CTC（对齐与折叠）工作过程（主观上） 过程分析： ε \varepsilon ε p ( Y ∣ X ) = ∑ A ∈ A X , Y ∏ t = 1 T p t ( a t ∣ X ) p(Y|X)=\qquad \sum_{\mathc
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相关文章
- 1. 2019trans--Sequence-to-Sequence Acoustic Modeling for Voice Conversion
- 2. Modeling with Doctrine ORM
- 3. CTC算法论文阅读笔记：Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurren
- 4. 【Learning Notes】Sequence Transducer
- 5. Language Modeling with Gated Convolutional Networks
- 6. CHAPTER 9 Sequence Processing with Recurrent Networks
- 7. (25)[NIPS14] Sequence to Sequence Learning with Neural Networks
- 8. Translation with a Sequence to Sequence Network and Attention
- 9. Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
- 10. OCR之R^2AM(Recursive Recurrent Nets with Attention Modeling for OCR in the Wild)