On rethinking how audio is captured, represented and retrieved in this new world of AI Ishwarya Ananthabotla completed her BS and MS in Electrical Engineering and Computer Science from MIT. She is pursuing a PhD in the MIT Media Lab’s Responsive Environments group, exploring ways to capitalize on our knowledge of human perception, cognition, memory, and attention, to re-think traditional paradigms for audio capture,
Category: Speech
“If the whole truth is told, oral tradition stands out as the single most dominant communicative technology of our species as both a historical fact and, in many areas still, a contemporary reality.” __John Foley, Signs of Orality Johannes Gutenberg ushered in the era of printing press and movable type around the year 1439. Thanks to him I’m able to write this blog but
“Alexa and Google Duplex are not perfect but so are humans, only difference is, Alexa and Duplex are making great strides forward” During the years 2008-11 I had worked at a healthcare IT company that used Automated Speech Recognition (ASR), Speech-to-Text (STT) and Text-to-Speech (TTS) software to automate collecting insurance information from members on behalf of health insurance companies in the US e.g. Blue