Automatic Speech Recognition on Tuda-DE (dev)
11.1WERIMS-Speech
Evaluation Results
| Method | Links | |
|---|---|---|
| IMS-SpeechLanguage=German2019.08 | 11.1 | |
| TransformerTraining Datasets=TD, SW*, LV*, Training data hours (h)=1460, LM=RNNLM (4 x 1024), Alignment=CTC-segmentation2020.07 | 12.3 | |
| TDNN-HMMTraining Datasets=TD, SW, MA, Training data hours (h)=412, LM=LSTM (2 x 1024)2020.07 | 13.1 | |
| State of the artLanguage=German2019.08 | 13.1 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=350,029, LM=4-gram KN + 2-layer LSTM LM2018.07 | 13.14 | |
| TransformerTraining Datasets=TD, SW, CV, Training data hours (h)=986, LM=RNNLM (4 x 1024)2020.07 | 14.1 | |
| TransformerTraining Datasets=TD, SW*, LV*, Training data hours (h)=1460, LM=RNNLM (2 x 650), Alignment=CTC-segmentation2020.07 | 14.3 | |
| TDNN-HMMTraining Datasets=TD, SW, CV, Training data hours (h)=649, LM=4-gram KN2020.07 | 14.8 | |
| TDNN-HMMTraining Datasets=TD, SW, MA, Training data hours (h)=412, LM=4-gram KN2020.07 | 15.3 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=350,029, LM=4-gram KN2018.07 | 15.32 | |
| TransformerTraining Datasets=TD, SW, CV, Training data hours (h)=986, LM=RNNLM (2 x 650)2020.07 | 16 | |
| TransformerTraining Datasets=TD, SW, CV, Training data hours (h)=649, LM=RNNLM (2 x 650)2020.07 | 16.4 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=182,784, LM=3-gram KN2018.07 | 18.39 | |
| TransformerTraining Datasets=TD, SW*, LV*, Training data hours (h)=1460, LM=None, Alignment=CTC-segmentation2020.07 | 19.3 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 20.3 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (cons. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 20.91 | |
| GMM-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=350,029, LM=4-gram KN2018.07 | 24.91 | |
| GMM-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=182,784, LM=3-gram KN2018.07 | 26.92 | |
| TDNN-HMMTraining Data=Tuda-De, Vocabulary=126,794, LM=3-gram KN2018.07 | 28.08 | |
| GMM-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 29.79 | |
| GMM-HMMTraining Data=Tuda-De + SWC (cons. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 29.97 | |
| TDNN-HMMTraining Data=Tuda-De, Vocabulary=28,131, LM=3-gram KN2018.07 | 35.53 | |
| GMM-HMMTraining Data=Tuda-De, Vocabulary=126,794, LM=3-gram KN2018.07 | 37.47 | |
| GMM-HMMTraining Data=Tuda-De, Vocabulary=28,131, LM=3-gram KN2018.07 | 45.31 |