Monthly Archives: July 2013

Crowdsourcing for speech technology

To train a speech recognition that works well, we need a large amount of transcribed audio.  That’s typically hundreds or thousands of hours of recordings of people speaking, along with the text of what they said.  In the past, the … Continue reading

Posted in Machine Learning | Tagged , , , , , | Leave a comment

Data reliability and bias

I posted previously about confidence intervals and how they’re important for being sure of your conclusions when you infer from data.  A somewhat related problem that crops up a lot in machine learning is that of data reliability and bias. … Continue reading

Posted in Machine Learning | Tagged , , , , | Leave a comment