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D-Index & Metrics

Computer Science

D-Index
45
Citations
10001
World Ranking
7119
National Ranking
62

Overview

Hung-yi Lee is affiliated with National Taiwan University in Taiwan and has contributed extensively to research in computer science, particularly in the domains of artificial intelligence and signal processing.

The scientist's publications focus on several key areas within computer science, including:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • General Health Professions
  • Experimental and Cognitive Psychology

The main topics of their research include:

  • Speech Recognition and Synthesis
  • Natural Language Processing Techniques
  • Topic Modeling
  • Music and Audio Processing
  • Speech and Audio Processing
  • Speech and Dialogue Systems
  • Adversarial Robustness in Machine Learning

Frequent publication venues for Hung-yi Lee's work are:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Interspeech 2022
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2022 IEEE Spoken Language Technology Workshop (SLT)

Selected recent papers authored or co-authored include:

  • "TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech" (2021) in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Self-Supervised Speech Representation Learning: A Review" (2022) in IEEE Journal of Selected Topics in Signal Processing
  • "MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification" (2022) in Interspeech 2022
  • "Distilhubert: Speech Representation Learning by Layer-Wise Distillation of Hidden-Unit Bert" (2022) in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "SUPERB: Speech processing Universal PERformance Benchmark" (2021) in arXiv (Cornell University)

Collaborative efforts frequently involve co-authors such as:

  • Haibin Wu
  • Shang-Wen Li
  • Shinji Watanabe
  • Guan-Ting Lin
  • Helen Meng

Best Publications

  • Temporal pattern attention for multivariate time series forecasting

    Shun-Yao Shih;Fan-Keng Sun;Hung-yi Lee

  • SUPERB: Speech processing Universal PERformance Benchmark

    Shu-wen Yang;Po-Han Chi;Yung-Sung Chuang;Cheng-I Jeff Lai

  • Self-Supervised Speech Representation Learning: A Review

    Unknown

  • Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

    Andy T. Liu;Shu-wen Yang;Po-Han Chi;Po-chun Hsu

  • TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

    Andy T. Liu;Shang-Wen Li;Hung-yi Lee

  • TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

    Andy T. Liu;Shang-Wen Li;Hung-yi Lee

  • One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization.

    Ju-chieh Chou;Cheng-chieh Yeh;Hung-yi Lee

  • Can Large Language Models Be an Alternative to Human Evaluations?

    Unknown

  • Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder.

    Yu-An Chung;Chao-Chung Wu;Chia-Hao Shen;Hung-Yi Lee

  • Audio Albert: A Lite Bert for Self-Supervised Learning of Audio Representation

    Po-Han Chi;Pei-Hung Chung;Tsung-Han Wu;Chun-Cheng Hsieh

  • Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations

    Ju-Chieh Chou;Cheng-chieh Yeh;Hung-yi Lee;Lin-Shan Lee

  • LAMOL: LAnguage MOdeling for Lifelong Language Learning

    Fan-Keng Sun;Cheng-Hao Ho;Hung-Yi Lee

  • Tree transformer: Integrating tree structures into self-attention

    Yaushian Wang;Hung-Yi Lee;Yun-Nung Chen

  • Can Large Language Models Be an Alternative to Human Evaluations?

    Unknown

  • MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification

    Unknown

  • Spoken content retrieval: beyond cascading speech recognition with text retrieval

    Lin-shan Lee;James Glass;Hung-yi Lee;Chun-an Chan

  • SpeechBERT: An audio-and-text jointly learned language model for end-to-end spoken question answering

    Yung-Sung Chuang;Chi-Liang Liu;Hung-yi Lee;Lin-shan Lee

  • DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

    Yi-Lin Tuan;Yun-Nung Chen;Hung-yi Lee

  • Supervised and Unsupervised Transfer Learning for Question Answering

    Yu-An Chung;Hung-yi Lee;James R. Glass

  • Again-VC: A One-Shot Voice Conversion Using Activation Guidance and Adaptive Instance Normalization

    Yen-Hao Chen;Da-Yi Wu;Tsung-Han Wu;Hung-yi Lee

  • DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERT

    Heng-Jui Chang;Shu-wen Yang;Hung-yi Lee

  • Meta Learning for End-To-End Low-Resource Speech Recognition

    Jui-Yang Hsu;Yuan-Jui Chen;Hung-yi Lee

  • Learning Chinese Word Representations From Glyphs Of Characters.

    Tzu-ray Su;Hung-yi Lee

  • Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection.

    Sheng-syun Shen;Hung-Yi Lee

  • Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension.

    Chia-Hsuan Li;Szu-Lin Wu;Chi-Liang Liu;Hung-yi Lee

  • VQVC+: One-shot voice conversion by vector quantization and U-Net architecture

    Da-Yi Wu;Yen-Hao Chen;Hung-yi Lee

  • One-Shot Voice Conversion by Vector Quantization

    Da-Yi Wu;Hung-yi Lee

Frequent Co-Authors

Lin-Shan Lee
Lin-Shan Lee National Taiwan University
Yun-Nung Chen
Yun-Nung Chen National Taiwan University
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica
Helen Meng
Helen Meng Chinese University of Hong Kong
Abdel-rahman Mohamed
Abdel-rahman Mohamed Facebook (United States)
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
David Chiang
David Chiang University of Notre Dame

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