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Automatic Speech Recognition on Hub5'01 (test)

5.2WER (SWB)Single headed attention based sequence-to-sequence model
5.0845.8676.657.433Jan 20, 2020

Evaluation results

MethodLinks
Single headed attention based sequence-to-sequence modelTraining Data=2k-lrg, External Language Model=true, Cross-utterance=true2020.015.2—6.39.7
Single headed attention based sequence-to-sequence modelTraining Data=2k-lrg, External Language Model=false, Cross-utterance=false2020.015.5—6.710.3
Single headed attention based sequence-to-sequence modelTraining Data=2k, External Language Model=true, Cross-utterance=true2020.016.5—8.211.4
Single headed attention based sequence-to-sequence modelTraining Data=2k, External Language Model=true, Cross-utterance=false2020.016.6—8.311.5
Single headed attention based sequence-to-sequence modelTraining Data=300h, External Language Model=true, Cross-utterance=true2020.016.8—9.113.4
Single headed attention based sequence-to-sequence modelTraining Data=2k, External Language Model=false, Cross-utterance=false2020.016.8—8.711.7
Single headed attention based sequence-to-sequence modelTraining Data=300h, External Language Model=true, Cross-utterance=false2020.017—9.313.8
Single headed attention based sequence-to-sequence modelTraining Data=300h, External Language Model=false, Cross-utterance=false2020.018.1—1115.7
attention modelLM=none, label unit=BPE 10K2018.05—19.9——
attention modelLM=none, label unit=BPE 1K2018.05—19.7——
attention modelLM=LSTM, label unit=BPE 1K2018.05—18.1——
hybridLM=4-gram, label unit=CDp2018.05—14.7——
hybridLM=LSTM, label unit=CDp2018.05—12.9——