Martin Graciarena, Ph.D., is a senior research engineer in SRI International’s Speech Technology and Research (STAR) Laboratory. His research interests include noise robust features; voice activity detection; speaker, language, and speech recognition; non-audible microphone signal processing; and bird song processing.
At SRI, he is currently the co-principal investigator and speech activity detection task leader in the Defense Advanced Research Projects Agency (DARPA) Robust Automatic Transcription of Speech (RATS) program, and a team member of the Acoustic Background Characterization program led by Sandia National Laboratories. He has worked on projects such as DARPA's Effective, Affordable Reusable Speech-to-text (EARS) program and Global Autonomous Language Exploitation (GALE) program, and the Intelligence Advanced Research Projects Activity's (
Prior to joining SRI, Graciarena was a researcher at the Biomedical Engineering Institute in the School of Engineering, University of Buenos Aires, Argentina.
He has more than 30 publications in peer-reviewed conferences and holds two patents. His Ph.D. in noise robust speech processing is from the University of Buenos Aires, Argentina.