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
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 Artificial Intelligence, Bias, Big data, Machine learning, Speech recognition
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