Democratizing ML for speech

You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.

ai artificial intelligence benchmark changelog computer vision data datasets david deep learning discuss diversity language machine machine learning mlcommons mlperf neural networks quality scale speaker speech systems