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88K subscribers • 106 videos on Hallway • Conference channel
Intermediate. Assumes working knowledge.
34K views7 years ago5 recommendations
Tools and practiceProgramming languagesDeveloper productivityVim, Emacs and editors
Emily Shea demonstrates how she uses speech recognition and Talon to program productively and pain-free after suffering from repetitive strain injury.
As a programmer, being unable to use a keyboard can seem like a career-ending limitation. I was facing that reality a year ago due to Repetitive Strain Injury, when every productive day was a step back for my health. In a futile, last-ditch effort at saving my career, I turned to speech recognition. Unexpectedly, not only was I able to return to pain-free productivity, but I found voice-driven development to be enjoyable, efficient, and a source of renewed excitement for programming. Speech recognition isn't exactly known in software development circles as a workable approach to programming, but it's better than you (probably) think! Far from imposing a tedious workflow with a specialized set of commands, speech can enable flexibility and optimizations that are difficult to achieve with a keyboard, and does not get in the way when adapting to new technologies, tools, or languages. This practical, demo-driven talk presents the approach and tools that have allowed me to continue on with my career. I'll present real world experience with speech-related topics like disambiguating homophones on the fly and teaching the voice engine new technical vocabulary. Beyond technical aspects, I will share my experience guiding a team to support this working style, and challenges to adding a microphone into an open office environment. Speech not only removes the compromise between health and career when an injury is present, but can also augment and improve the workflow for a wider audience. Emily Shea Fastly, Inc. @yomilly Emily is a Senior Software Engineer at Fastly, where she works on the platform for delivering core CDN configurations, and develops in Perl using speech recognition. In a past life, she worked in HR at mobile gaming companies. Emily holds a BA in Architecture from UC Berkeley, and in her spare time likes to hang out in parks with her dog, named Chicken.What people say. Engineers point to this talk as the premier demonstration of highly efficient, hands-free voice programming to combat RSI.
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