Most people take for granted that when they speak, they will be heard and understood. But for the millions who live with speech impairments caused by physical or neurological conditions, trying to communicate with others can be difficult and lead to frustration. While there have been a great number of recent advances in automatic speech recognition (ASR; a.k.a. speech-to-text) technologies, these interfaces can be inaccessible for those with speech impairments. Further, applications that rely on speech recognition as input for text-to-speech synthesis (TTS) can exhibit word substitution, deletion, and insertion errors. Critically, in today’s technological environment, limited access to speech interfaces, such as digital assistants that depend on directly understanding one’s speech, means being excluded from state-of-the-art tools and experiences, widening the gap between what those with and without speech impairments can access.
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Computer Science at Columbia University
Diameter of random polytyopes
Friday 10:00 am
CS conference room (CSB453)
Sophie Huiberts, Columbia University
Building a Start-up? Learn How to Fundraise From Top Venture Capitalists
Wednesday 3:00 pm
Ann Miura Ko, Matt Turck, Spencer Crawley
Trustworthy Open Source: The Consequences of Success
Distinguished Lecture Series
Monday 11:50 am
CSB 451 CS Auditorium
Eric Brewer, Google