Radio Communications - Audio to Text
Sunday May 22, 1:00 pm, Bldg 23, Rm 213
Jeannie Stamberger, Associate Director, DMI and Adjunct Faculty, CMU, and Ian Lane, Research Assistant Professor, CMU
Summary: The workshop will explore the state-of-the-art and intricacies of near real-time transcription of audio communication over amateur radio to text to integrate information communicated via amateur radio into common operations pictures, which currently pull from a number of sources providing digital text (e.g., SMS, Twitter) but lacks key information communicated over amateur radio. Come and listen to audio communications in disasters, learn about the technical intricacies, try your hand at transcribing methods, and bring your own expertise to share.
About the speakers:
Jeannie A. Stamberger, Ph.D. is the Associate Director of Strategic Programs and Funding of the CMUSV Disaster Management Initiative, and an CMUSV Adjunct Faculty. Jeannie received her Ph.D. in Biological Sciences from Stanford University in 2006. During her doctorate, she worked on the BioACT project with the Stanford Computer Science Department "InfoLab" group where she advised human-computer-interaction research on field biology data collection, curation and dissemination, resulting in award-winning field technology, such as the EcoPod interface (CHI - Vannevar Bush IEEE/ACM 2006 Best Student Paper Award). She has worked on technical risk assessments for URS Corporation (Oakland, CA) for California Sacramento/San Joaquin Delta levees, which affect the water supply for 25 million people and the 7th largest economy in the world. She brings a unique perspective to disaster management, by integrating her experience developing technology for extreme environments and analytical skills for patchy data, resulting in award winning designs such as "Tweak the Tweet" (a Twitter hashtag syntax for disaster reporting; Random Hacks of Kindness, November 2009). She has been the CrisisCamp lead for Silicon Valley since early 2010. Within the DMI her research interests include social media, user-centered design, technology to reduce violence against women, and the 'human sensor'.
Ian Lane is a Research Assistant Professor at Carnegie Mellon University. His research interests include spoken language understanding, speech recognition, machine learning and applications of these technologies. He has published extensively in these fields and has received several patents for his work. At Carnegie Mellon University his research efforts have focused on robust integration of speech recognition and machine translation, unsupervised topic adaptation and optimization of speech-to-speech translation systems for mobile devices. During his time at CMU he led the development of numerous world-leading speech translation systems including submissions to IWSLT, TransTAC and GALE. Before joining Carnegie Mellon University, Ian was an intern researcher at ATR Spoken Language Communication Laboratories in Kyoto, Japan. He obtained a Ph.D. degree from Kyoto University in 2006 and a B.Tech. degree in 2000 from Massey University, New Zealand.