- Fields of study
- IEEE James L. Flanagan Speech and Audio Processing Award
Biing-Hwang Juang has developed speech recognition and coding technologies found in practically all of today's cell phones, smart phones, and voice-enabled applications. He was one of the first to realize the potential of Hidden Markov Models (HMMs) for speech recognition systems, which enable computers to identify spoken words and sentences. His "mixture density HMM" became the dominant technology for speech recognition systems used in cell phones, voice-enabled navigation systems, and customer-service telecom lines. Dr. Juang was one of the first to develop vector quantization methods for low-bit-rate speech coding. He also co-developed an efficient speech representation method that is at the heart of speech coders used in cell phones and for Voice over Internet applications.
An IEEE Fellow, Dr. Juang is the Motorola Foundation Chair Professor and GRA Eminent Scholar at the Georgia Institute of Technology, Atlanta, GA, USA. Juang was the recipient of the 2014 IEEE James L. Flanagan Speech and Audio Processing Award.