Who Cited It

Acoustic Modeling Using Deep Belief Networks

2011 · IEEE Transactions on Audio Speech and Language Processing · 1,752 citations · 18 from inside this corpus

Abdelrahman Mohamed, George E. Dahl, Geoffrey E. Hinton

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.

Acoustic Modeling Using Deep Belief Networks (2011)Acoustic Modeling Using Deep …Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Training Products of Experts by Minimizing Contrastive Divergence (2002)Training Products of Experts …Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Gaussian Error Linear Units (GELUs) (2016)Gaussian Error Linear Units (…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Long short-term memory recurrent neural network architectures for large scale acoustic mo… (2014)Long short-term memory recurr…Deep learning and its applications to machine health monitoring (2018)Deep learning and its applica…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Convolutional Neural Networks for Speech Recognition (2014)Convolutional Neural Networks…Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015)Deep Speech 2: End-to-End Spe…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…Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)Deep Speech: Scaling up end-to-end speech recognition (2014)Deep Speech: Scaling up end-t…
23 of 23 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
Reducing the Dimensionality of Data with Neural Networks200621,247
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
A Fast Learning Algorithm for Deep Belief Nets200616,540
Training Products of Experts by Minimizing Contrastive Divergence20025,032
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089

What cites it, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Speech recognition with deep recurrent neural networks20138,916
Improving neural networks by preventing co-adaptation of feature detectors20126,653
On the importance of initialization and momentum in deep learning20133,523
A survey of deep neural network architectures and their applications20163,285
Gaussian Error Linear Units (GELUs)20163,197
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Long short-term memory recurrent neural network architectures for large scale acoustic mo…20142,986
Deep learning and its applications to machine health monitoring20182,803
Deep learning applications and challenges in big data analytics20152,610
Convolutional Neural Networks for Speech Recognition20142,304
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin20152,181
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Hybrid speech recognition with Deep Bidirectional LSTM20131,804
Deep Learning: Methods and Applications20141,801
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Deep Speech: Scaling up end-to-end speech recognition20141,519

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.
  • supports48 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…