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Fact · Voice and AI

32.5percent

On the 2012 Switchboard task, the move from a GMM-HMM baseline at 27.4 percent word error rate to a deep network at 18.5 percent is a relative reduction of about 32.5 percent.

Checked against its source on October 17, 2026

What it measures
A relative reduction divides the drop in error rate by the starting error rate. The absolute drop is 8.9 percentage points.
How it is calculated
(27.4 - 18.5) / 27.4 = 0.325, about 32.5 percent relative reduction
What it does not show
One benchmark from 2012. Modern recognizers are far more accurate, so the size of this gain should not be read as a current figure.

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Cited on

Deep networks cut the Switchboard error rate by 32.5 percent | Yap