Long short-term memory recurrent neural network architectures for large scale acoustic modeling

Haşim Sak; Andrew Senior; Françoise Beaufays

doi:https://doi.org/10.21437/interspeech.2014-80

Long short-term memory recurrent neural network architectures for large scale acoustic modeling

2014 · 2,986 citations · 8 from inside this corpus

Haşim Sak, Andrew Senior, Françoise Beaufays low

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.

19 of 19 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Deep learning in neural networks: An overview→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
The Limitations of Deep Learning in Adversarial Settings→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy 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
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
Introduction to Machine Learning→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding→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…→Long Short-Term MemoryLegacy 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…→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Recurrent neural network based language modelLegacy 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
Long short-term memory recurrent neural network architectures for large scale acoustic mo…→LSTM neural networks for language modelingLegacy 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
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…→Acoustic Modeling Using Deep Belief NetworksLegacy 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 RecognitionLegacy edge — source detail unavailable
Recurrent neural network based language model→Learning long-term dependencies with gradient descent is difficultLegacy 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
Hybrid speech recognition with Deep Bidirectional LSTM→Acoustic Modeling Using Deep Belief NetworksLegacy 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→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy 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 RecognitionLegacy edge — source detail unavailable
Long Short-Term Memory→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
Deep learning in neural networks: An overview→Long Short-Term MemoryLegacy 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→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
Deep learning in neural networks: An overview→Learning to Forget: Continual Prediction with LSTMLegacy 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→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
Framewise phoneme classification with bidirectional LSTM and other neural network archite…→Long Short-Term MemoryLegacy edge — source detail unavailable
Learning to Forget: Continual Prediction with LSTM→Long Short-Term MemoryLegacy edge — source detail unavailable
Learning to Forget: Continual Prediction with LSTM→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
Speech recognition with deep recurrent neural networks→Acoustic Modeling Using Deep Belief NetworksLegacy 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→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
Speech recognition with deep recurrent neural networks→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy 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
The Limitations of Deep Learning in Adversarial Settings→Convolutional, Long Short-Term Memory, fully connected Deep Neural NetworksLegacy edge — source detail unavailable
The Limitations of Deep Learning in Adversarial Settings→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
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 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→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin→Long Short-Term MemoryLegacy 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→Deep Neural Networks for Acoustic Modeling in Speech RecognitionLegacy edge — source detail unavailable
LSTM neural networks for language modeling→Recurrent neural network based language modelLegacy edge — source detail unavailable
LSTM neural networks for language modeling→Long Short-Term MemoryLegacy edge — source detail unavailable
LSTM neural networks for language modeling→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
LSTM neural networks for language modeling→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding→Long Short-Term MemoryLegacy edge — source detail unavailable
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Long Short-Term MemoryLegacy 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
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→LSTM neural networks for language modelingLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Recurrent neural network based language modelLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Acoustic Modeling Using Deep Belief NetworksLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
Introduction to Machine Learning→Long Short-Term MemoryLegacy edge — source detail unavailable
Introduction to Machine Learning→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Long Short-Term Memory	1997	101,359
Speech recognition with deep recurrent neural networks	2013	8,916
Learning long-term dependencies with gradient descent is difficult	1994	8,610
Framewise phoneme classification with bidirectional LSTM and other neural network archite…	2005	5,619
Learning to Forget: Continual Prediction with LSTM	2000	5,538
Recurrent neural network based language model	2010	5,432
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition	2011	3,089
LSTM neural networks for language modeling	2012	1,996
Deep Neural Networks for Acoustic Modeling in Speech Recognition	2012	1,907
Hybrid speech recognition with Deep Bidirectional LSTM	2013	1,804
Acoustic Modeling Using Deep Belief Networks	2011	1,752

What cites it, inside the corpus

Paper	Year	Cited
Deep learning in neural networks: An overview	2014	18,236
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network	2020	5,639
The Limitations of Deep Learning in Adversarial Settings	2016	3,980
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	2,181
Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks	2015	1,646
Introduction to Machine Learning	2019	1,620
A State-of-the-Art Survey on Deep Learning Theory and Architectures	2019	1,619
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding	2018	1,459

Links

Download BibTeX · Download RIS · DOI · OpenAlex record

Topics

Speech Recognition and Synthesis	Computer Science
Music and Audio Processing	Computer Science
Speech and Audio Processing	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports22 reference(s) recorded.
supportsThe DOI's year agrees with the publication year.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…