Perfect Speech Recognition Using Crowdsourcing

Analyzing speech and improving speech-to-text machines has been a hobby horse for Darpa in recent years. But this takes it a step further, in exploring the ways crowdsourcing can make it possible for our speech to be recorded and stored forever. But it’s not just about better recordings of what you say. It’ll lead to more recorded conversations, quickly transcribed and then stored in perpetuity — like a Twitter feed or e-mail archive for everyday speech. Imagine living in a world where every errant utterance you make is preserved forever.

University of Texas computer scientist Matt Lease has studied crowdsourcing for years, including for an earlier Darpa project called Effective Affordable Reusable Speech-to-text, or EARS, which sought to boost the accuracy of automated transcription machines. His work has also attracted enough attention for Darpa to award him a $300,000 award over two years to study the new project, called “Blending Crowdsourcing with Automation for Fast, Cheap, and Accurate Analysis of Spontaneous Speech.” The project envisions a world that is both radically transparent and a little freaky.

 

Ref: DARPA: Perfect Speech Recognition, Conversations Stored Forever – DarkGovernment