Who Cited It

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

2012 · IEEE Signal Processing Magazine · 10,399 citations · 33 from inside this corpus

Geoffrey E. Hinton, Li Deng, Dong Yu, George E. Dahl, Abdelrahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N. Sainath, Brian Kingsbury

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.

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Learning representations by back-propagating errors (1986)Learning representations by b…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …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…Acoustic Modeling Using Deep Belief Networks (2011)Acoustic Modeling Using Deep …Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Machine learning: Trends, perspectives, and prospects (2015)Machine learning: Trends, per…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Intriguing properties of neural networks (2013)Intriguing properties of neur…DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks (2016)DeepFool: A Simple and Accura…A guide to deep learning in healthcare (2018)A guide to deep learning in h…Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…mixup: Beyond Empirical Risk Minimization (2017)mixup: Beyond Empirical Risk …Neural Architecture Search with Reinforcement Learning (2016)Neural Architecture Search wi…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Human-level concept learning through probabilistic program induction (2015)Human-level concept learning …Structural Deep Network Embedding (2016)Structural Deep Network Embed…Deep learning and its applications to machine health monitoring (2018)Deep learning and its applica…Spectral Networks and Locally Connected Networks on Graphs (2013)Spectral Networks and Locally…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Listen, attend and spell: A neural network for large vocabulary conversational speech rec… (2016)Listen, attend and spell: A n…Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Convolutional Neural Networks for Speech Recognition (2014)Convolutional Neural Networks…Learning deep structured semantic models for web search using clickthrough data (2013)Learning deep structured sema…Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey (2018)Threat of Adversarial Attacks…Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Hybrid speech recognition with Deep Bidirectional LSTM (2013)Hybrid speech recognition wit…Advances in natural language processing (2015)Advances in natural language …Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models (2016)Building End-To-End Dialogue …
36 of 40 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
Learning representations by back-propagating errors198631,688
Reducing the Dimensionality of Data with Neural Networks200621,247
A Fast Learning Algorithm for Deep Belief Nets200616,540
Understanding the difficulty of training deep feedforward neural networks201012,673
Training Products of Experts by Minimizing Contrastive Divergence20025,032
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Acoustic Modeling Using Deep Belief Networks20111,752

What cites it, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Deep learning in neural networks: An overview201418,236
Distilling the Knowledge in a Neural Network201514,099
Machine learning: Trends, perspectives, and prospects20159,947
A Comprehensive Survey on Graph Neural Networks20209,855
Speech recognition with deep recurrent neural networks20138,916
Intriguing properties of neural networks20135,739
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks20165,392
A guide to deep learning in healthcare20185,126
Deep Learning in Medical Image Analysis20174,917
mixup: Beyond Empirical Risk Minimization20174,806
Neural Architecture Search with Reinforcement Learning20163,881
A Comprehensive Survey on Graph Neural Networks20203,307
A survey of deep neural network architectures and their applications20163,285
Deep learning for healthcare: review, opportunities and challenges20173,115
Human-level concept learning through probabilistic program induction20152,958
Structural Deep Network Embedding20162,843
Deep learning and its applications to machine health monitoring20182,803
Spectral Networks and Locally Connected Networks on Graphs20132,726
Deep learning applications and challenges in big data analytics20152,610
Listen, attend and spell: A neural network for large vocabulary conversational speech rec…20162,359
Privacy-Preserving Deep Learning20152,325
Convolutional Neural Networks for Speech Recognition20142,304
Learning deep structured semantic models for web search using clickthrough data20132,099
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey20182,090
Probabilistic machine learning and artificial intelligence20152,031
Hybrid speech recognition with Deep Bidirectional LSTM20131,804
Advances in natural language processing20151,732
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models20161,725

Links

DOI · OpenAlex record

Topics

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

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  • supports11 author record(s) attached.
  • supports86 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 2026-09-04T03:58:40+00:00.

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