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D-Index & Metrics

Computer Science

D-Index
85
Citations
29205
World Ranking
803
National Ranking
436

Electronics and Electrical Engineering

D-Index
81
Citations
26637
World Ranking
495
National Ranking
228

Research.com Recognitions

  • 1997 - IEEE Fellow For contributions to automatic speech and speaker recognition.

Overview

Chin-Hui Lee is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Computer Science, with focused work in Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition, and Cognitive Neuroscience.

The scientist's main topics of study include Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing, Advanced Adaptive Filtering Techniques, Blind Source Separation Techniques, Hearing Loss and Rehabilitation, and Infant Health and Development.

Chin-Hui Lee has contributed to a significant number of publications, including papers in various well-known venues such as arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, ICASSP 2022, Interspeech 2022, and the 2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP).

  • Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition, 2020, arXiv (Cornell University)
  • A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection, 2023, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Information Fusion in Attention Networks Using Adaptive and Multi-Level Factorized Bilinear Pooling for Audio-Visual Emotion Recognition, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement, 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression, 2020, IEEE Transactions on Signal Processing

Their research collaborations include frequent co-authorship with Jun Du, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Qing Wang, and Shutong Niu.

  • Jun Du
  • Sabato Marco Siniscalchi
  • Chao-Han Huck Yang
  • Qing Wang
  • Shutong Niu

Chin-Hui Lee has published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • 2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP)

In 1997, Chin-Hui Lee was awarded the IEEE Fellow distinction for contributions to automatic speech and speaker recognition.

Best Publications

  • Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains

    J.-L. Gauvain;Chin-Hui Lee

  • A regression approach to speech enhancement based on deep neural networks

    Yong Xu;Jun Du;Li-Rong Dai;Chin-Hui Lee

  • An Experimental Study on Speech Enhancement Based on Deep Neural Networks

    Yong Xu;Jun Du;Li-Rong Dai;Chin-Hui Lee

  • Minimum classification error rate methods for speech recognition

    Biing-Hwang Juang;Wu Hou;Chin-Hui Lee

  • Automatic recognition of keywords in unconstrained speech using hidden Markov models

    J.G. Wilpon;L.R. Rabiner;C.-H. Lee;E.R. Goldman

  • A maximum-likelihood approach to stochastic matching for robust speech recognition

    A. Sankar;Chin-Hui Lee

  • On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

    Jun Qi;Jun Du;Sabato Marco Siniscalchi;Xiaoli Ma

  • A study on speaker adaptation of the parameters of continuous density hidden Markov models

    C.-H. Lee;C.-H. Lin;B.-H. Juang

  • Developments and directions in speech recognition and understanding, Part 1 [DSP Education]

    J. Baker;Li Deng;J. Glass;S. Khudanpur

  • A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films.

    Hu Chen;Hu Chen;Kailai Zhang;Peijun Lyu;Hong Li

  • A Vector Space Modeling Approach to Spoken Language Identification

    Haizhou Li;Bin Ma;Chin-Hui Lee

  • Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states

    Sadia Shakil;Chin-Hui Lee;Shella Dawn Keilholz

  • Automatic Speech and Speaker Recognition: Advanced Topics

    Chin-Hui Lee;Frank K. Soong;Kuldip K. Paliwal

  • Segmental GPD training of HMM based speech recognizer

    W. Chou;B.H. Juang;C.H. Lee

  • Acoustic modeling for large vocabulary speech recognition

    C.H. Lee;L.R. Rabiner;R. Pieraccini;J.G. Wilpon

  • Method of key-phrase detection and verification for flexible speech understanding

    Biing-Hwang Juang;Tatsuya Kawahara;Chin-Hui Lee

  • Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method

    S. Katagiri;Biing-Hwang Juang;Chin-Hui Lee

  • Vocabulary independent discriminative utterance verification for nonkeyword rejection in subword based speech recognition

    R.A. Sukkar;Chin-Hui Lee

  • The use of cohort normalized scores for speaker verification

    Unknown

  • Speaker adaptation based on MAP estimation of HMM parameters

    C.-H. Lee;J.-L. Gauvain

  • A structural Bayes approach to speaker adaptation

    K. Shinoda;C.-H. Lee

  • A frame-synchronous network search algorithm for connected word recognition

    C.-H. Lee;L.R. Rabiner

Frequent Co-Authors

Jun Du
Jun Du University of Science and Technology of China
Biing-Hwang Juang
Biing-Hwang Juang Georgia Institute of Technology
Lawrence R. Rabiner
Lawrence R. Rabiner Rutgers, The State University of New Jersey
Jinyu Li
Jinyu Li Microsoft (United States)
Li-Rong Dai
Li-Rong Dai University of Science and Technology of China
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica
Roberto Pieraccini
Roberto Pieraccini Google (United States)
Jay G. Wilpon
Jay G. Wilpon Ai Wilpon Consulting LLC
Jean-Luc Gauvain
Jean-Luc Gauvain Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen

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