(9) [CS15] Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
计划完成深度学习入门的126篇论文第九篇，Google的Has¸im Sak使用RNN用在Acoustic Models for Speech Recognition方向上的论文。 ABSTRACT&INTRODUCTION 摘要 最近咱们发现，做为语音识别的声学模型，深度长短时间记忆(LSTM)递归神经网络(RNNs)优于前馈深度神经网络(DNNs)。近年来，咱们发现使用这种LSTM神经网络的序
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相关文章
- 1. Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
- 2. (zhuan) Recurrent Neural Network
- 3. (7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
- 4. 文章：Emotion Recognition From Speech With Recurrent Neural Networks
- 5. (6) [IEEESignal12] Deep neural networks for acoustic modeling in speech recognition
- 6. Convolutional Neural Networks for Speech Recognition///2014
- 7. Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based
- 8. Semantic Flow for Fast and Accurate Scene Parsing
- 9. Interspeech 2017 | Far-field Speech Recognition Technology
- 10. Sequence Models(Week1)编程-----Building your Recurrent Neural Network