Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin论文笔记
感想 这篇文章的署名作者尤其的多，做了很多工作，从模型设计到产品不熟，还实现了一个GPU版本的CTC，CTC可以说是这篇文章的核心部分，没有它，就没有端到端的训练，作者还用到了双向神经网络，对GPU并行都做了相应的定制化优化，涉及的很全，算法比较实验也很全，大多都是很人类水平比较。 介绍 数十年的手工工程领域知识已经融入到了最新的自动语音识别（automatic speech recognitio
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相关文章
- 1. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
- 2. Deep Speech笔记
- 3. 论文笔记：DEEP LEARNING FOR MONAURAL SPEECH SEPARATION
- 4. Almost Unsupervised Text to Speech and Automatic Speech Recognition
- 5. Visual Speech Recognition: Lip Segmentation and Mapping
- 6. Food Log with Speech Recognition and NLP
- 7. (7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
- 8. 论文 Convolutional Networks for Images, Speech, and Time-Series
- 9. Speech recognition using deep neural network: A systematic review 论文简述
- 10. Efficient Active Learning for Automatic Speech Recognition... 论文笔记