This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
According to Speech SOTA, the new state of the art on Switchboard Hub5'00 is The CAPIO 2017 Conversational Speech Recognition System, at WER of 5.0%, published in Dec., 2017.