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ResearchFormerly WizWand

Speech Recognition on Hub5'00 CH (test)

12.2WERn-gram + model M + NNLM
10.44422.29734.1546.003Dec 17, 2014Jul 11, 2015Feb 2, 2016Aug 27, 2016Mar 21, 2017Oct 13, 2017May 8, 2018
Updated 8mo ago

Evaluation results

MethodLinks
n-gram + model M + NNLMLanguage Model=n-gram + model M + NNLM2016.0412.2
n-gram + NNLMLanguage Model=n-gram + NNLM2016.0412.4
n-gram + model MLanguage Model=n-gram + model M2016.0412.6
85K vocab n-gram baselineLanguage Model=85K vocab, 36M n-grams2016.0413.7
30K vocab n-gram baselineLanguage Model=30K vocab, 4M n-grams2016.0414.4
hybridLM=LSTM, label unit=CDp2018.0517.3
hybridLM=4-gram, label unit=CDp2018.0519
Deep SpeechTraining Data=SWB + FSH2014.1219.3
LF MMILM=4-gram, label unit=CDp2018.0519.3
DNN-HMMTraining Data=FSH2014.1223.7
DNN-HMM sMBR2014.1224.1
CTCLM=word RNN, label unit=chars, added lexicon=true2018.0525.3
attention modelLM=LSTM, label unit=BPE 1K2018.0525.7
attention modelLM=none, label unit=BPE 1K2018.0526.1
DNN-HMMTraining Data=SWB2014.1226.3
attention modelLM=none, label unit=BPE 10K2018.0527.1
Deep SpeechTraining Data=SWB2014.1231.8
CTCLM=RNN, label unit=chars, added noise=true2018.0531.8
CTCLM=n-gram, label unit=chars2018.0532.1
GMM-HMM BMMI2014.1233
CTCLM=none, label unit=chars2018.0537.1
CTCLM=RNN, label unit=chars2018.0540.2
attentionLM=none, label unit=chars2018.0540.8
attentionLM=3-gram, label unit=words2018.0546
attentionLM=none, label unit=words2018.0548.2
attentionLM=5-gram, label unit=chars2018.0550.4
attentionLM=none, label unit=chars2018.0552.7
CTCLM=none, label unit=chars2018.0556.1