Who Cited It

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.

Long short-term memory recurrent neural network architectures for large scale acoustic mo… (2014)Long short-term memory recurr…Long Short-Term Memory (1997)Long Short-Term MemorySpeech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Framewise phoneme classification with bidirectional LSTM and other neural network archite… (2005)Framewise phoneme classificat…Learning to Forget: Continual Prediction with LSTM (2000)Learning to Forget: Continual…Recurrent neural network based language model (2010)Recurrent neural network base…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…LSTM neural networks for language modeling (2012)LSTM neural networks for lang…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Hybrid speech recognition with Deep Bidirectional LSTM (2013)Hybrid speech recognition wit…Acoustic Modeling Using Deep Belief Networks (2011)Acoustic Modeling Using Deep …Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network (2020)Fundamentals of Recurrent Neu…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015)Deep Speech 2: End-to-End Spe…Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks (2015)Convolutional, Long Short-Ter…Introduction to Machine Learning (2019)Introduction to Machine Learn…A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018)Detecting Spacecraft Anomalie…
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.
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Speech recognition with deep recurrent neural networks20138,916
Learning long-term dependencies with gradient descent is difficult19948,610
Framewise phoneme classification with bidirectional LSTM and other neural network archite…20055,619
Learning to Forget: Continual Prediction with LSTM20005,538
Recurrent neural network based language model20105,432
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
LSTM neural networks for language modeling20121,996
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Hybrid speech recognition with Deep Bidirectional LSTM20131,804
Acoustic Modeling Using Deep Belief Networks20111,752

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network20205,639
The Limitations of Deep Learning in Adversarial Settings20163,980
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin20152,181
Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks20151,646
Introduction to Machine Learning20191,620
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding20181,459

Links

DOI · OpenAlex record

Topics

Speech Recognition and SynthesisComputer Science
Music and Audio ProcessingComputer Science
Speech and Audio ProcessingComputer 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…