(9) [CS15] Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
計劃完成深度學習入門的126篇論文第九篇，Google的Has¸im Sak使用RNN用在Acoustic Models for Speech Recognition方向上的論文。 ABSTRACT&INTRODUCTION 摘要 最近咱們發現，做爲語音識別的聲學模型，深度長短時間記憶(LSTM)遞歸神經網絡(RNNs)優於前饋深度神經網絡(DNNs)。近年來，咱們發現使用這種LSTM神經網絡的序
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相關文章
- 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)編程-----Building your Recurrent Neural Network