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D-Index & Metrics

Computer Science

D-Index
39
Citations
7370
World Ranking
9676
National Ranking
84

Overview

Lin-Shan Lee is affiliated with National Taiwan University in Taiwan. Their research primarily focuses on the field of Computer Science with significant contributions to Artificial Intelligence, Signal Processing, and Control and Systems Engineering.

Their published work spans multiple topics including:

  • Speech Recognition and Synthesis
  • Topic Modeling
  • Speech and Dialogue Systems
  • Music and Audio Processing
  • Speech and Audio Processing
  • Adversarial Robustness in Machine Learning
  • Hate Speech and Cyberbullying Detection

Lin-Shan Lee has authored papers in prominent venues such as arXiv (Cornell University), Interspeech 2022, Impact, and the 2021 IEEE Global Communications Conference (GLOBECOM).

Selected recent publications include:

  • DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering, 2022, Interspeech 2022
  • Defending Your Voice: Adversarial Attack on Voice Conversion, 2020, arXiv (Cornell University)
  • End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Pseudo Whisper Pre-training, 2020, arXiv (Cornell University)
  • DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering, 2022, arXiv (Cornell University)
  • FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention, 2020, arXiv (Cornell University)

Frequent collaborators include Hung-yi Lee, Guan-Ting Lin, Yung-Sung Chuang, Shang-Wen Li, and Abdelrahman Mohamed, with multiple joint publications reflecting ongoing research partnerships.

Best Publications

  • Robust entropy-based endpoint detection for speech recognition in noisy environments.

    Jia-Lin Shen;Jeih-Weih Hung;Lin-Shan Lee

  • A new framework for recognition of Mandarin syllables with tones using sub-syllabic units

    C.-H. Lin;L.-S. Lee;P.-Y. Ting

  • A DISTRIBUTED ARCHITECTURE FOR COOPERATIVE SPOKEN DIALOGUE AGENTS WITH COHERENT DIALOGUE STATE AND HISTORY

    Bor-shen Lin;Hsin-min Wang;Lin-Shan Lee

  • 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

  • A real-time Mandarin dictation machine for Chinese language with unlimited texts and very large vocabulary

    L.S. Lee;C.Y. Tseng;H.Y. Gu;F.H. Liu

  • Spoken document understanding and organization

    Lin-shan Lee;B. Chen

  • An initial study on large-vocabulary continuous Mandarin speech recognition with limited training data based on sub-syllabic models

    Hsin-min Wang;Renyuan Lyu;Jia-lin Shen;Lin-shan Lee

  • Golden Mandarin(II)-an intelligent Mandarin dictation machine for Chinese character input with adaptation/learning functions

    Lin-Shan Lee;Keh-Jiann Chen;Chiu-Yu Tseng;Renyuan Lyu

  • Fast speaker adaptation using eigenspace-based maximum likelihood linear regression.

    Kuan-Ting Chen;Wen-Wei Liau;Hsin-Min Wang;Lin-Shan Lee

  • 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

  • Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data

    Hsin-Min Wang;Tai-Hsuan Ho;Rung-Chiung Yang;Jia-Lin Shen

  • The synthesis rules in a Chinese text-to-speech system

    Lin-Shan Lee;Chiu-Yu Tseng;Ming Ouh-Young

  • Golden Mandarin (II)-an improved single-chip real-time Mandarin dictation machine for Chinese language with very large vocabulary

    L.-s. Lee;C.-y. Tseng;K.-J. Chen;I.-J. Hung

  • Voice dictation of Mandarin Chinese

    Lin-Shan Lee

  • 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

  • System and method of recognizing continuous mandarin speech utilizing chinese hidden markou models

    Lin-Shan Lee

  • Golden Mandarin (I)-A real-time Mandarin speech dictation machine for Chinese language with very large vocabulary

    L.S. Lee;C.Y. Tseng;H.Y. Gu;F.H. Liu

  • Isolated-utterance speech recognition using hidden Markov models with bounded state durations

    Hung-Yan Gu;Chiu-Yu Tseng;Lin-Shan Lee

  • System and method of intelligent Mandarin speech input for Chinese computers

    Lin-Shan Lee

Frequent Co-Authors

Hung-yi Lee
Hung-yi Lee National Taiwan University
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Yun-Nung Chen
Yun-Nung Chen National Taiwan University
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica
Frank Seide
Frank Seide Microsoft (United States)
Winston H. Hsu
Winston H. Hsu National Taiwan University
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Ja-Ling Wu
Ja-Ling Wu National Taiwan University
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Sinan Gezici
Sinan Gezici Bilkent University

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