Fred Richardson is a Technical Staff researcher with 13+ years applying classical and deep learning methods to speech technologies, including ASR, speaker and language identification. Based at MIT Lincoln Laboratory since 2004, he blends academic rigor from an MS in Electrical Engineering with hands-on experience developing and evaluating LVCSR systems in NIST benchmarks. He specializes in designing, implementing, testing and refining models such as DNNs, GMMs, HMMs and SVMs for challenging, real-world conversational speech tasks. Fred’s career spans research roles at BBN and independent IT consulting, giving him both deep algorithmic expertise and a pragmatic eye for low-cost, deployable solutions. He is comfortable moving systems from experimental prototypes to operational use and has a track record of improving recognition performance in noisy, telephone-based environments. Based in Brookline, MA, he brings a steady, research-driven approach to long-term projects that require careful tuning and robust evaluation.
13 years of coding experience
7 years of employment as a software developer
MS, Electrical Engineering, MS, Electrical Engineering at Boston University
Enabling the Windows Subsystem for Linux to include support for Wayland and X server related scenarios
Contributions:2 comments in 1 year 1 month
cygwinwaylandvdiwindows-subsystemwindows
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Fred Richardson - Technical Staff at MIT Lincoln Laboratory