Chung‐Cheng Chiu - Concepedia

Author

Chung‐Cheng Chiu

Also Known As

C.-C. Chiu, CHUNG-CHENG CHIU, Chiu, Chung-Cheng, Chiu, Chung-Cheng (author), Chung Cheng Chiu, Chung-Cheng Chiu, Chung-cheng Chiu, Chung‐Cheng Chiu, Gu, Chenjie, Paszke, Adam

146

Publications

11.3K

Citations

H-Index

120

Concepts

All Affiliations

Google (United States)National Defense University National Yang Ming Chiao Tung University

About

Chung‐Cheng Chiu is an author at Google (United States) specializing in engineering, deep learning, and speech recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	29	55	6K
2	Health Sciences	15	20	4K
3	Language Studies	12	13	1K
4	Business	1	1	33
5	Medicine	1	1	22

Chung‐Cheng Chiu

Publications

9.9K

Citations

H-Index

Page 1

	Year	Citations
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Daniel Park, William Chan, Yu Zhang,	2019	3.4K
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati, James Qin, Chung‐Cheng Chiu, EngineeringMachine LearningGlobal DependenciesSpeech RecognitionNatural Language Processing	2020	2.5K
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati, James Qin, Chung‐Cheng Chiu, arXiv (Cornell University) EngineeringMachine LearningGlobal DependenciesSpeech RecognitionNatural Language Processing	2020	379
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context Wei Han, Zhengdong Zhang, Yu Zhang, Convolutional Neural NetworkEngineeringMachine LearningExternal Language ModelSpeech Recognition	2020	249
w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training Yu-An Chung, Yu Zhang, Wei Han, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) Self-supervised Speech Pre-trainingLlm Fine-tuningEngineeringMachine LearningSpoken Language Processing	2021	247
Improved Noisy Student Training for Automatic Speech Recognition Daniel Park, Yu Zhang, Jia Ye,	2020	226
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency Tara N. Sainath, Yanzhang He, Bo Li, EngineeringComputer ArchitectureWord Error RateSpoken Language ProcessingData Streaming Architecture	2020	201
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Zhang Yu, James Qin, Daniel Park, arXiv (Cornell University) EngineeringMachine LearningSpoken Language ProcessingSpeech RecognitionNatural Language Processing	2020	200
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling Jonathan Shen, Patrick Nguyen, Yonghui Wu, arXiv (Cornell University) EngineeringMachine LearningTensorflow FrameworkAi FoundationQuantized Inference	2019	183
Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation Jia Ye, Melvin Johnson, Wolfgang Macherey, Llm Fine-tuningEngineeringMachine LearningCorpus LinguisticsEnd-to-end Speech Translation	2019	153

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