LM在speech recognition中的应用
今天我们来看看language model(简称LM)在speech recognition中的应用。 首先来看上图，LM主要可以预测token sequence 的几率，虽然我们的LAS中其实只需要P(Y|X)的数值即可，但在实际操作中我们还是会加上P(Y)的数值，我们知道P(Y|X)需要的都是成对的数据，但是P(Y)非常容易去收集。 我们可以看看，Google的语音训练模型一共使用了12500
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相关文章
- 1. speech recognition resource
- 2. Almost Unsupervised Text to Speech and Automatic Speech Recognition
- 3. 5 Open Source Speech Recognition/Speech-to-Text Systems
- 4. 【论文笔记】Improving Transformer-based End-to-End Speech Recognition with CTC and LM Integration
- 5. Convolutional Neural Networks for Speech Recognition///2014
- 6. Visual Speech Recognition: Lip Segmentation and Mapping
- 7. Food Log with Speech Recognition and NLP
- 8. Interspeech 2017 | Far-field Speech Recognition Technology
- 9. 声音辨识Speech Recognition
- 10. 2019 Interspeech speech emotoin recognition paper reading