Navdeep Jaitly

According to our database1, Navdeep Jaitly authored at least 60 papers between 2007 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Hard Alignments with Variational Inference.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

State-of-the-Art Speech Recognition with Sequence-to-Sequence Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames.
Signal Processing Systems, 2017

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions.
CoRR, 2017

State-of-the-art Speech Recognition With Sequence-to-Sequence Models.
CoRR, 2017

Speech recognition for medical conversations.
CoRR, 2017

Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech.
CoRR, 2017

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.
CoRR, 2017

Discrete Sequential Prediction of Continuous Actions for Deep RL.
CoRR, 2017

Learning Hard Alignments with Variational Inference.
CoRR, 2017

An online sequence-to-sequence model for noisy speech recognition.
CoRR, 2017

Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction.
CoRR, 2017

Sequence-to-Sequence Models Can Directly Translate Foreign Speech.
Proceedings of the Interspeech 2017, 2017


An RNN Model of Text Normalization.
Proceedings of the Interspeech 2017, 2017

An Analysis of "Attention" in Sequence-to-Sequence Models.
Proceedings of the Interspeech 2017, 2017

A Comparison of Sequence-to-Sequence Models for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

Towards Better Decoding and Language Model Integration in Sequence to Sequence Models.
Proceedings of the Interspeech 2017, 2017

Very deep convolutional networks for end-to-end speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning online alignments with continuous rewards policy gradient.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Very Deep Convolutional Networks for End-to-End Speech Recognition.
CoRR, 2016

RNN Approaches to Text Normalization: A Challenge.
CoRR, 2016

Reward Augmented Maximum Likelihood for Neural Structured Prediction.
CoRR, 2016

Learning Online Alignments with Continuous Rewards Policy Gradient.
CoRR, 2016

Chained Predictions Using Convolutional Neural Networks.
CoRR, 2016

Towards better decoding and language model integration in sequence to sequence models.
CoRR, 2016

Latent Sequence Decompositions.
CoRR, 2016

Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning.
CoRR, 2016

Reward Augmented Maximum Likelihood for Neural Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An Online Sequence-to-Sequence Model Using Partial Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Chained Predictions Using Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Pointer Networks.
CoRR, 2015

Adversarial Autoencoders.
CoRR, 2015

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units.
CoRR, 2015

An Online Sequence-to-Sequence Model Using Partial Conditioning.
CoRR, 2015

Listen, Attend and Spell.
CoRR, 2015

Object Recognition from Short Videos for Robotic Perception.
CoRR, 2015

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.
CoRR, 2015

Pointer Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks.
CoRR, 2014

Multi-task Neural Networks for QSAR Predictions.
CoRR, 2014

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.
Proceedings of the INTERSPEECH 2014, 2014

Towards End-To-End Speech Recognition with Recurrent Neural Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis.
BMC Bioinformatics, 2013

Using an autoencoder with deformable templates to discover features for automated speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

Hybrid speech recognition with Deep Bidirectional LSTM.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition.
Proceedings of the INTERSPEECH 2012, 2012

2011
Normalizing Molecular Docking Rankings using Virtually Generated Decoys.
Journal of Chemical Information and Modeling, 2011

Learning a better representation of speech soundwaves using restricted boltzmann machines.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy.
Bioinformatics, 2010

Applications in Data-Intensive Computing.
Advances in Computers, 2010

2009
Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.
BMC Bioinformatics, 2009

An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry.
Proceedings of the Fifth International Conference on e-Science, 2009

2008
DAnTE: a statistical tool for quantitative analysis of -omics data.
Bioinformatics, 2008

DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra.
Bioinformatics, 2008

2007
VIPER: an advanced software package to support high-throughput LC-MS peptide identification.
Bioinformatics, 2007


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