Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Listen, attend and spell: A neural network for large vocabulary conversational speech rec…Legacy edge — source detail unavailable
- Tacotron: Towards End-to-End Speech Synthesis→Listen, attend and spell: A neural network for large vocabulary conversational speech rec…Legacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Neural Machine Translation by Jointly Learning to Align and TranslateLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Kaldi Speech Recognition ToolkitLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Towards End-To-End Speech Recognition with Recurrent Neural NetworksLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Hybrid speech recognition with Deep Bidirectional LSTMLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Convolutional, Long Short-Term Memory, fully connected Deep Neural NetworksLegacy edge — source detail unavailable
- Listen, attend and spell: A neural network for large vocabulary conversational speech rec…→Deep Speech: Scaling up end-to-end speech recognitionLegacy edge — source detail unavailable
- Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Deep Speech: Scaling up end-to-end speech recognition→Kaldi Speech Recognition ToolkitLegacy 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
- Hybrid speech recognition with Deep Bidirectional LSTM→Kaldi Speech Recognition ToolkitLegacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Long Short-Term MemoryLegacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Hybrid speech recognition with Deep Bidirectional LSTM→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Towards End-To-End Speech Recognition with Recurrent Neural Networks→Kaldi Speech Recognition ToolkitLegacy edge — source detail unavailable
- Towards End-To-End Speech Recognition with Recurrent Neural Networks→Long Short-Term MemoryLegacy 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→Long Short-Term MemoryLegacy 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→Long Short-Term MemoryLegacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…→Long Short-Term MemoryLegacy edge — source detail unavailable
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition→Kaldi Speech Recognition ToolkitLegacy 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
- Tacotron: Towards End-to-End Speech Synthesis→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Tacotron: Towards End-to-End Speech Synthesis→Neural Machine Translation by Jointly Learning to Align and TranslateLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition | 2019 | 3,619 |
| Tacotron: Towards End-to-End Speech Synthesis | 2017 | 1,749 |
Links
Topics
| Speech Recognition and Synthesis | Computer Science |
| Music and Audio Processing | Computer Science |
| Natural Language Processing Techniques | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports4 author record(s) attached.
- supports48 reference(s) recorded.
- supportsThe DOI's year agrees with the publication year.
- supportsA title is present.
Provenance
sha256 a2172c1bbe00c44b…