PeopleofSuperintelligence

Researcher

Biing-Hwang Fred Juang

Also known as B. Juang, Biing-Hwang (Fred) Juang, Biing-Hwang Juang

Biing-Hwang Fred Juang is a speech and signal-processing researcher whose work includes speech coding and automatic speech recognition. He earned electrical engineering degrees in Taiwan and California, worked on vector quantization and Hidden Markov Model speech recognition, and coauthored the 1993 book Fundamentals of Speech Recognition. After joining Georgia Tech as a Motorola Foundation Chair Professor in 2002, he was named a 2020 NTU Distinguished Alumnus and coauthored a 2024 paper on deep neural networks. As of October 2026, he is a professor and Georgia Research Alliance Eminent Scholar at Georgia Tech; he received the IEEE Jack S. Kilby Signal Processing Medal in 2026.

Badges

Timeline

  1. 1973–1981

    Electrical engineering degrees

    He earns a B.Sc. in electrical engineering at National Taiwan University in 1973, then M.Sc. and Ph.D. degrees at the University of California, Santa Barbara, in 1978 and 1981.

  2. 1982

    Vector quantization for voice coding

    In 1982, he publishes work on vector quantization for voice coding, including a method for 800 bps and lower data rates. His earlier work at the Speech Communications Research Laboratory and Signal Technology develops very-low-bit-rate voice coders and robust satellite vocoders.

  3. 1985

    Hidden Markov speech models

    He coauthors “Mixture autoregressive hidden Markov models for speech signals” with Lawrence R. Rabiner in 1985. His mixture-density HMM becomes a dominant speech-recognition technology in cell phones, voice-enabled navigation, and customer-service telecom lines.

  4. 1993

    Fundamentals of Speech Recognition

    He and Lawrence R. Rabiner publish the book Fundamentals of Speech Recognition in 1993.

  5. 1996–2001

    Leading Bell and Avaya research

    He becomes director of Acoustics and Speech Research at Bell Labs in 1996, then director of Multimedia Technologies Research at Avaya Labs in 2001. His group develops a speech server for AT&T's advanced 800 calls and Moviefone, plus the Perceptual Audio Coder for digital audio broadcasting.

  6. 2002

    A Georgia Tech chair

    He joins Georgia Tech's School of Electrical and Computer Engineering in 2002 as Motorola Foundation Chair Professor.

  7. 2020–2024

    An NTU honor and deep learning

    National Taiwan University names him a 2020 Distinguished Alumnus. In 2024, he coauthors “Accretionary Learning with Deep Neural Networks with Applications.”

  8. As of October 2026

    Professor and IEEE medalist

    He is a professor and Georgia Research Alliance Eminent Scholar at Georgia Tech. In April 2026, he receives the IEEE Jack S. Kilby Signal Processing Medal for contributions to signal modeling, coding, and speech recognition.

Career

  1. Since 2002Georgia Institute of TechnologyMotorola Foundation Chair Professor
  2. From 2001AvayaDirector of Multimedia Technologies Research
  3. 1996–2001Bell LabsDirector of Acoustics and Speech Research

Education

  1. 1981University of California, Santa BarbaraPh.D.
  2. 1978University of California, Santa BarbaraM.Sc.
  3. 1973National Taiwan UniversityB.Sc. in electrical engineering

From the biography.

  1. 23% of people shaping AI who left a university for a company later returned to a universityIncludes Biing-Hwang Fred Juang. We estimate that 468 of the 2,011 people shaping AI who left a university for a company (23%) later returned to a university after a median of 5 years, and 163 of 829 (20%) made the reverse round trip.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Georgia Institute of Technology. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Georgia Institute of Technology. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Georgia Institute of Technology. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Biing-Hwang Fred Juang yet. Send us a free-licensed photo.

  1. Biing Hwang Juang ece.gatech.edu. Checked 20 October 2026.
  2. Speech Research in Telecommunications: A Bell-Centric View isca-archive.org. Checked 20 October 2026.
  3. Publications – Papers – B. JUANG – Georgia Tech – Biing-Hwang (Fred) Juang juang.ece.gatech.edu. Checked 20 October 2026.
  4. Biing-Hwang Juang - Engineering and Technology History Wiki ethw.org. Checked 20 October 2026.
  5. Events web.ee.ntu.edu.tw. Checked 20 October 2026.
  6. Juang, McClellan Honored with 2026 IEEE Medals ece.gatech.edu. Checked 20 October 2026.