World's Best Scientists 2026 revealed!

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Computer Science

D-Index
39
Citations
6418
World Ranking
9773
National Ranking
4122

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to speech and language technology

Overview

Mei-Yuh Hwang is affiliated with Microsoft in the United States and specializes in medical research, with a primary focus on the field of Medicine. Their research interests encompass several subfields, including Hematology, Otorhinolaryngology, Molecular Biology, Public Health, Environmental and Occupational Health, and Epidemiology.

Their recent publications demonstrate engagement with diverse aspects of medical science and clinical research. These publications include:

  • Survival and Quality of Life Analysis in a Randomized Deintensification Trial for Locally Advanced HPV Positive Oropharynx Cancer Patients, 2020, International Journal of Radiation Oncology*Biology*Physics
  • Clinical Applications of the Microbiome in Obstetrics, 2023, Neonatal Medicine
  • OC 35.2 The Role of Anti-Factor-Xa in the Dosing and Administration of Low Molecular Weight Heparins in Pregnancy: A Systematic Review and Meta-Analysis, 2023, Research and Practice in Thrombosis and Haemostasis

The frequent publication outlets associated with Mei-Yuh Hwang include:

  • International Journal of Radiation Oncology*Biology*Physics
  • Neonatal Medicine
  • Research and Practice in Thrombosis and Haemostasis

The scientist collaborates often with several researchers, including Marshall R. Posner, D.K. Misiukiewicz, Vishal Gupta, Brett A. Miles, and Richard L. Bakst.

Key topics of their research cover a range of medical and clinical domains such as:

  • Head and Neck Cancer Studies
  • Gut microbiota and health
  • Pregnancy and Medication Impact
  • Urinary Tract Infections Management
  • Blood Coagulation and Thrombosis Mechanisms
  • Venous Thromboembolism Diagnosis and Management
  • Hemophilia Treatment and Research

In 2019, Mei-Yuh Hwang was recognized as an IEEE Fellow for contributions to speech and language technology, indicating expertise beyond the medical sciences and involvement in technology development.

Best Publications

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Mixtures of bayesian networks

    Bo Thiesson;Christopher A. Meek;David Maxwell Chickering;David Earl Heckerman

  • Recurrent neural networks for language understanding.

    Kaisheng Yao;Geoffrey Zweig;Mei-Yuh Hwang;Yangyang Shi

  • Generating large units of graphonemes with mutual information criterion for letter to sound conversion

    Mei-Yuh Hwang;Li Jiang

  • Methods and apparatus for automatically synchronizing electronic audio files with electronic text files

    David E. Heckerman;Fileno A. Alleva;Robert L. Rounthwaite;Daniel Rosen

  • Method and apparatus for constructing and using syllable-like unit language models

    Mei-Yuh Hwang;Fileno A. Alleva;Rebecca C. Weiss

  • Predicting unseen triphones with senones

    Mei-Yuh Hwang;Xuedong Huang;F.A. Alleva

  • Shared-distribution hidden Markov models for speech recognition

    Mei-Yuh Hwang;Xuedong Huang

  • Cross-Domain and Cross-Language Portability of Acoustic Features Estimated by Multilayer Perceptrons

    A. Stolcke;F. Grezl;Mei-Yuh Hwang;Xin Lei

  • Predicting unseen triphones with senones

    M.-Y. Hwang;X. Huang;F. Alleva

  • Assignment of semantic labels to a sequence of words using neural network architectures

    Anoop Deoras;Kaisheng Yao;Xiaodong He;Li Deng

  • Methods and apparatus for performing speech recognition using acoustic models which are improved through an interactive process

    David E. Heckerman;Fileno A. Alleva;Robert L. Rounthwaite;Daniel Rosen

  • Subphonetic modeling with Markov states-Senone

    M.Y. Hwang;X. Huang

  • Applying SPHINX-II to the DARPA Wall Street Journal CSR task

    F. Alleva;H. Hon;X. Huang;M. Hwang

  • The SPHINX speech recognition system

    K.-F. Lee;H.-W. Hon;M.-Y. Hwang;S. Mahajan

  • Domain Adversarial Training for Accented Speech Recognition

    Sining Sun;Ching-Feng Yeh;Mei-Yuh Hwang;Mari Ostendorf

  • Recent innovations in speech-to-text transcription at SRI-ICSI-UW

    A. Stolcke;Barry Chen;H. Franco;Venkata Ramana Rao Gadde

  • Microsoft Windows highly intelligent speech recognizer: Whisper

    Xuedong Huang;A. Acero;F. Alleva;Mei-Yuh Hwang

  • New-word pronunciation learning using a pronunciation graph

    Mei-Yuh Hwang

  • Method and system for dynamically adjusted training for speech recognition

    Hsiao-Wuen Hon;Xuedong D. Huang;Mei-Yuh Hwang;Li Jiang

Frequent Co-Authors

Xuedong Huang
Xuedong Huang Microsoft (United States)
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Dong Yu
Dong Yu Tencent (China)
Kai-Fu Lee
Kai-Fu Lee Sinovation Ventures
Mari Ostendorf
Mari Ostendorf University of Washington
Alejandro Acero
Alejandro Acero Apple (United States)
Li Deng
Li Deng Citadel
David Heckerman
David Heckerman Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)

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