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Yonghui Wu — all works

38 works · ← Yonghui Wu

  1. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation ↗arXiv:1609.08144 · no summary yetYonghui Wu et al.2016 · 6,904 citations
  2. Conformer: Convolution-augmented Transformer for Speech RecognitionInterspeechAnmol Gulati, James Qin, Chung-Cheng Chiu, et al.2020 · 3,475 citations
  3. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetJonathan Shen et al.2018 · 2,912 citations
  4. Tacotron: Towards End-to-End Speech Synthesis ↗Interspeech (USB) · no summary yetYuxuan Wang et al.2017 · 1,786 citations
  5. Exploring the Limits of Language Modeling ↗arXiv:1602.02410 · no summary yetRafal Jozefowicz et al.2016 · 1,091 citations
  6. State-of-the-Art Speech Recognition with Sequence-to-Sequence Models ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetChung‐Cheng Chiu et al.2018 · 1,078 citations
  7. GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism ↗arXiv:1811.06965 · no summary yetYanping Huang et al.2018 · 809 citations
  8. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
  9. Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis ↗arXiv (Cornell University) · no summary yetJia Ye et al.2018 · 470 citations
  10. Sequence-to-Sequence Models Can Directly Translate Foreign Speech ↗Interspeech (USB) · no summary yetRon J. Weiss et al.2017 · 446 citations
  11. An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetAnjuli Kannan et al.2018 · 279 citations
  12. Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model ↗Interspeech (USB) · no summary yetJia Ye et al.2019 · 252 citations
  13. Improved Noisy Student Training for Automatic Speech Recognition ↗Interspeech (USB) · no summary yetDaniel Park et al.2020 · 251 citations
  14. Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition ↗arXiv (Cornell University) · no summary yetYu Zhang et al.2020 · 233 citations
  15. Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling ↗arXiv (Cornell University) · no summary yetJonathan Shen et al.2019 · 213 citations
  16. A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetTara N. Sainath et al.2020 · 205 citations
  17. Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. ↗arXiv (Cornell University) · no summary yetYuxuan Wang et al.2017 · 200 citations
  18. Training Deeper Neural Machine Translation Models with Transparent Attention ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetAnkur Bapna et al.2018 · 182 citations
  19. BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗IEEE Journal of Selected Topics in Signal Processing · no summary yetYu Zhang et al.2022 · 180 citations
  20. Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model ↗Interspeech (USB) · no summary yetAnjuli Kannan et al.2019 · 178 citations
  21. Specaugment on Large Scale Datasets ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetDaniel Park et al.2020 · 154 citations
  22. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeecharXiv:1904.02882Heiga Zen, Viet Dang, Rob Clark, et al.2019 · 153 citations
  23. Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetRohit Prabhavalkar et al.2018 · 152 citations
  24. Reward Augmented Maximum Likelihood for Neural Structured Prediction ↗arXiv (Cornell University) · no summary yetMohammad Norouzi et al.2016 · 146 citations
  25. Building Machine Translation Systems for the Next Thousand Languages ↗arXiv (Cornell University) · no summary yetAnkur Bapna et al.2022 · 131 citations
  26. GSPMD: General and Scalable Parallelization for ML Computation Graphs ↗arXiv (Cornell University) · no summary yetYuanzhong Xu et al.2021 · 119 citations
  27. A Comparison of End-to-End Models for Long-Form Speech Recognition ↗IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yetChung‐Cheng Chiu et al.2019 · 90 citations
  28. Gmail Smart Compose: Real-Time Assisted Writing ↗arXiv (Cornell University) · no summary yetMia Xu Chen et al.2019 · 89 citations
  29. Pathways: Asynchronous Distributed Dataflow for ML ↗arXiv (Cornell University) · no summary yetPaul Barham et al.2022 · 85 citations
  30. PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS ↗Interspeech (USB) · no summary yetJia Ye et al.2021 · 75 citations
  31. Hierarchical Generative Modeling for Controllable Speech Synthesis ↗arXiv (Cornell University) · no summary yetWei-Ning Hsu et al.2018 · 55 citations
  32. No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetTara N. Sainath et al.2018 · 55 citations
  33. N-Grammer: Augmenting Transformers with latent n-grams ↗arXiv (Cornell University) · no summary yetAurko Roy et al.2022 · 8 citations
  34. On the Impact of Cross-Domain Data on German Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetAmin Dada et al.2023 · 7 citations

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