Bidirectional recurrent neural networks
Mike Schuster, Kuldip K. Paliwal
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Citation edge evidence
- Deep learning in neural networks: An overview→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Neural Machine Translation by Jointly Learning to Align and Translate→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Framewise phoneme classification with bidirectional LSTM and other neural network archite…→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Connectionist temporal classification→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Towards End-To-End Speech Recognition with Recurrent Neural Networks→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- CatBoost for big data: an interdisciplinary review→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Deep Learning Enabled Semantic Communication Systems→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Deep Speech: Scaling up end-to-end speech recognition→Bidirectional recurrent neural networksLegacy edge — source detail unavailable
- Bidirectional recurrent neural networks→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Bidirectional recurrent neural networks→Neural Networks for Pattern RecognitionLegacy edge — source detail unavailable
- Bidirectional recurrent neural networks→A direct adaptive method for faster backpropagation learning: the RPROP algorithmLegacy edge — source detail unavailable
- Bidirectional recurrent neural networks→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
- Deep Speech: Scaling up end-to-end speech recognition→Towards End-To-End Speech Recognition with Recurrent Neural NetworksLegacy edge — source detail unavailable
- Deep Speech: Scaling up end-to-end speech recognition→Connectionist temporal classificationLegacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Connectionist temporal classificationLegacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Towards End-To-End Speech Recognition with Recurrent Neural NetworksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Connectionist temporal classificationLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→A direct adaptive method for faster backpropagation learning: the RPROP algorithmLegacy edge — source detail unavailable
- Framewise phoneme classification with bidirectional LSTM and other neural network archite…→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Towards End-To-End Speech Recognition with Recurrent Neural Networks→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Towards End-To-End Speech Recognition with Recurrent Neural Networks→Connectionist temporal classificationLegacy edge — source detail unavailable
- Towards End-To-End Speech Recognition with Recurrent Neural Networks→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Connectionist temporal classification→Neural networks for pattern recognitionLegacy edge — source detail unavailable
- Connectionist temporal classification→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Neural Machine Translation by Jointly Learning to Align and Translate→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Connectionist temporal classificationLegacy edge — source detail unavailable
- An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions→Neural Machine Translation by Jointly Learning to Align and TranslateLegacy edge — source detail unavailable
- Deep Learning Enabled Semantic Communication Systems→Neural Machine Translation by Jointly Learning to Align and TranslateLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Neural networks for pattern recognition | 1994 | 18,720 |
| Neural Networks for Pattern Recognition | 1995 | 12,273 |
| A direct adaptive method for faster backpropagation learning: the RPROP algorithm | 2002 | 3,936 |
| Phoneme recognition using time-delay neural networks | 1989 | 2,650 |
What cites it, inside the corpus
Links
Topics
| Neural Networks and Applications | Computer Science |
| Speech Recognition and Synthesis | Computer Science |
| Blind Source Separation Techniques | Computer Science |
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