The Microsoft 2016 Conversational Speech Recognition System

Benchmark Model Rank Results
speech-recognition-on-swb-hub-500-werVGG/Resnet/LACE/BiLSTM acoustic model trained on SWB+Fisher+CH, N-gram + RNNLM language model trained on Switchboard+Fisher+Gigaword+Broadcast–Percentage error: 11.9
speech-recognition-on-switchboard-hub500Microsoft 2016–Percentage error: 6.2
speech-recognition-on-switchboard-hub500RNNLM–Percentage error: 6.9
speech-recognition-on-switchboard-hub500VGG/Resnet/LACE/BiLSTM acoustic model trained on SWB+Fisher+CH, N-gram + RNNLM language model trained on Switchboard+Fisher+Gigaword+Broadcast–Percentage error: 6.3