Deep Neural Networks for Acoustic Modeling in Speech Recognition

Citation edge evidence

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• Sequence to Sequence Learning with Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Speech recognition with deep recurrent neural networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Sequence to Sequence Learning with Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Learning deep structured semantic models for web search using clickthrough data→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Towards End-To-End Speech Recognition with Recurrent Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Adversarial Examples in the Physical World→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Advances in natural language processing→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activa…→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Neural Networks for Acoustic Modeling in Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• On the importance of initialization and momentum in deep learning→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Embedding Entities and Relations for Learning and Inference in Knowledge Bases→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
• Advances in natural language processing→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Acoustic Modeling Using Deep Belief 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→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech: Scaling up end-to-end speech recognition→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Acoustic Modeling Using Deep Belief Networks→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Hybrid speech recognition with Deep Bidirectional LSTM→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Reducing the Dimensionality of Data with Neural Networks→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Towards End-To-End Speech Recognition with Recurrent Neural Networks→Reducing the Dimensionality of Data with Neural NetworksLegacy 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
• Sequence to Sequence Learning with Neural Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Sequence to Sequence Learning with Neural Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Learning deep structured semantic models for web search using clickthrough data→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• A Fast Learning Algorithm for Deep Belief Nets→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• A Fast Learning Algorithm for Deep Belief Nets→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
• Speech recognition with deep recurrent neural networks→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Training Products of Experts by Minimizing Contrastive DivergenceLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Learning deep structured semantic models for web search using clickthrough dataLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Deep Learning: Methods and Applications→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Convolutional, Long Short-Term Memory, fully connected Deep Neural NetworksLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Deep Speech: Scaling up end-to-end speech recognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Towards End-To-End Speech Recognition with Recurrent Neural NetworksLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activa…→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activa…→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Reducing the Dimensionality of Data with Neural NetworksLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Deep learning for healthcare: review, opportunities and challenges→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Deep Speech: Scaling up end-to-end speech recognitionLegacy edge — source detail unavailable
• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Towards End-To-End Speech Recognition with Recurrent Neural NetworksLegacy edge — source detail unavailable
• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Sequence to Sequence Learning with Neural Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
• Sequence to Sequence Learning with Neural Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable