This electrical and computer engineering expert has more than 20 years of experience specializing in speech processing, speech recognition, and human and machine interaction. Their work focuses on digital signal processing, adaptive filtering, pattern recognition, neural networks, and natural language processing, with application to voice analysis, speaker identification, and communication systems, including cellular communications, mobile applications, and voice networks.

Their experience includes development and analysis of speech recognition systems, including search and decoding processes and feature extraction. Additional work involves programming, software tool development, and implementation of speech processing systems, as well as machine learning-related research in signal processing and mobile technologies. Research activity includes projects supported by National Science Foundation funding related to wake-up-word speech recognition and mobile smart technologies, along with development of speech processing tools and systems. The expert holds a doctoral degree and has extensive academic and instructional experience in electrical and computer engineering, including the establishment and development of graduate and undergraduate coursework in speech processing, speech recognition, signal and systems, computer architecture, and hardware-software integration. Their work includes organizing and hosting the NIST Rich Transcription Evaluation Workshop and participation in academic and research activities related to speech and signal processing.