World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
41665
World Ranking
5731
National Ranking
2602

Overview

Navdeep Jaitly is a researcher affiliated with Google in the United States, specializing in Computer Science with a focus on Artificial Intelligence. Their work spans several subfields including Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, and Language and Linguistics.

Their research topics cover a range of areas in machine learning and speech processing, notably:

  • Topic Modeling
  • Speech Recognition and Synthesis
  • Natural Language Processing Techniques
  • Speech and Audio Processing
  • Speech and dialogue systems
  • Reinforcement Learning in Robotics
  • Generative Adversarial Networks and Image Synthesis

Jaitly has contributed to numerous publications, with a strong presence in the venue arXiv (Cornell University), where they have published 42 papers. Selected recent publications include:

  • "Imputer: Sequence Modelling via Imputation and Dynamic Programming" (2020), arXiv (Cornell University)
  • "RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions" (2020), arXiv (Cornell University)
  • "Matryoshka Diffusion Models" (2023), arXiv (Cornell University)
  • "Position Prediction as an Effective Pretraining Strategy" (2022), arXiv (Cornell University)
  • "Continuous Pseudo-Labeling from the Start" (2022), arXiv (Cornell University)

The research collaborations of Navdeep Jaitly are reflected in frequent coauthors, including:

  • Jiatao Gu
  • Josh Susskind
  • Shuangfei Zhai
  • Tatiana Likhomanenko
  • Yizhe Zhang

Their body of work demonstrates an engagement with foundational and applied aspects of speech and language technologies, as well as exploration into reinforcement learning and image synthesis techniques.

Best Publications

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

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

  • Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

    Jonathan Shen;Ruoming Pang;Ron J. Weiss;Mike Schuster

  • Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

    William Chan;Navdeep Jaitly;Quoc Le;Oriol Vinyals

  • Towards End-To-End Speech Recognition with Recurrent Neural Networks

    Alex Graves;Navdeep Jaitly

  • Hybrid speech recognition with Deep Bidirectional LSTM

    Alex Graves;Navdeep Jaitly;Abdel-rahman Mohamed

  • Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang;R. J. Skerry-Ryan;Daisy Stanton;Yonghui Wu

  • Scheduled sampling for sequence prediction with recurrent Neural networks

    Samy Bengio;Oriol Vinyals;Navdeep Jaitly;Noam Shazeer

  • Pointer networks

    Oriol Vinyals;Meire Fortunato;Navdeep Jaitly

  • State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

    Chung-Cheng Chiu;Tara N. Sainath;Yonghui Wu;Rohit Prabhavalkar

  • A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

    Quoc V. Le;Navdeep Jaitly;Geoffrey E. Hinton

  • Adversarial Autoencoders

    Alireza Makhzani;Jonathon Shlens;Navdeep Jaitly;Ian Goodfellow

  • DAnTE: a statistical tool for quantitative analysis of -omics data

    Ashoka D. Polpitiya;Wei-Jun Qian;Navdeep Jaitly;Vladislav A. Petyuk

  • Very deep convolutional networks for end-to-end speech recognition

    Yu Zhang;William Chan;Navdeep Jaitly

  • Listen, Attend and Spell

    William Chan;Navdeep Jaitly;Quoc V. Le;Oriol Vinyals

  • Towards better decoding and language model integration in sequence to sequence models

    Jan Chorowski;Navdeep Jaitly

  • Vocal Tract Length Perturbation (VTLP) improves speech recognition

    Navdeep Jaitly;E. Hinton

  • Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognition

    Navdeep Jaitly;Patrick Nguyen;Andrew W. Senior;Vincent Vanhoucke

  • Sequence-to-Sequence Models Can Directly Translate Foreign Speech

    Ron J. Weiss;Jan Chorowski;Navdeep Jaitly;Yonghui Wu

  • A Comparison of Sequence-to-Sequence Models for Speech Recognition

    Rohit Prabhavalkar;Kanishka Rao;Tara N. Sainath;Bo Li

  • The shared views of four research groups )

    Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

  • Towards End-to-End Speech Recognitionwith Recurrent Neural Networks

    Alex Graves;Navdeep Jaitly

Frequent Co-Authors

Yonghui Wu
Yonghui Wu Google (United States)
Matthew E. Monroe
Matthew E. Monroe Pacific Northwest National Laboratory
Zhifeng Chen
Zhifeng Chen Google (United States)
Joshua N. Adkins
Joshua N. Adkins Pacific Northwest National Laboratory
Chung-Cheng Chiu
Chung-Cheng Chiu Google (United States)
Patrick Nguyen
Patrick Nguyen Google (United States)
Samy Bengio
Samy Bengio Apple (United States)
Tara N. Sainath
Tara N. Sainath Google (United States)
Quoc V. Le
Quoc V. Le Google (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring the field of Computer Science in the USA opens up a wide range of flexible online degree options. Many students start with easy online associate degrees, which provide foundational skills for immediate job entry or transfer to bachelor’s programs. For those seeking specialization, affordable online masters programs can boost credentials without breaking the bank, making advanced CS knowledge more accessible.

Online doctoral degrees are also available for professionals aspiring to leadership roles. The cheapest online doctorate in educational leadership can prepare graduates for top positions in academia and administration, while a phd in leadership online helps develop high-level management skills applicable to tech-driven organizations.

By choosing respected and affordable online degrees, students and professionals alike can broaden their technical expertise and career opportunities—no matter where they are.

Best Scientists Citing Navdeep Jaitly

Trending Scientists