Automatic Speech Recognition on Tuda-DE (test)
10WERIMS-Speech
Evaluation Results
| Method | Links | |
|---|---|---|
| IMS-SpeechScored utterances=3481 of 4100 (85%)2019.08 | 10 | |
| IMS-SpeechLanguage=German2019.08 | 12 | |
| Google APIScored utterances=3481 of 4100 (85%)2019.08 | 12.4 | |
| TransformerTraining Datasets=TD, SW*, LV*, Training data hours (h)=1460, LM=RNNLM (4 x 1024), Alignment=CTC-segmentation2020.07 | 12.8 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=350,029, LM=4-gram KN + 2-layer LSTM LM2018.07 | 14.38 | |
| TDNN-HMMTraining Datasets=TD, SW, MA, Training data hours (h)=412, LM=LSTM (2 x 1024)2020.07 | 14.4 | |
| State of the artLanguage=German2019.08 | 14.4 | |
| TransformerTraining Datasets=TD, SW*, LV*, Training data hours (h)=1460, LM=RNNLM (2 x 650), Alignment=CTC-segmentation2020.07 | 14.9 | |
| TransformerTraining Datasets=TD, SW, CV, Training data hours (h)=986, LM=RNNLM (4 x 1024)2020.07 | 15.2 | |
| TDNN-HMMTraining Datasets=TD, SW, CV, Training data hours (h)=649, LM=4-gram KN2020.07 | 15.9 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=350,029, LM=4-gram KN2018.07 | 16.49 | |
| TDNN-HMMTraining Datasets=TD, SW, MA, Training data hours (h)=412, LM=4-gram KN2020.07 | 16.5 | |
| TransformerTraining Datasets=TD, SW, CV, Training data hours (h)=986, LM=RNNLM (2 x 650)2020.07 | 17.1 | |
| TransformerTraining Datasets=TD, SW, CV, Training data hours (h)=649, LM=RNNLM (2 x 650)2020.07 | 17.2 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=182,784, LM=3-gram KN2018.07 | 19.6 | |
| TransformerTraining Datasets=TD, SW*, LV*, Training data hours (h)=1460, LM=None, Alignment=CTC-segmentation2020.07 | 19.7 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 21.43 | |
| TDNN-HMMTraining Data=Tuda-De + SWC (cons. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 22.22 | |
| GMM-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=350,029, LM=4-gram KN2018.07 | 25.77 | |
| GMM-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=182,784, LM=3-gram KN2018.07 | 28.25 | |
| TDNN-HMMTraining Data=Tuda-De, Vocabulary=126,794, LM=3-gram KN2018.07 | 28.96 | |
| GMM-HMMTraining Data=Tuda-De + SWC (min. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 30.99 | |
| GMM-HMMTraining Data=Tuda-De + SWC (cons. pruned), Vocabulary=126,794, LM=3-gram KN2018.07 | 31.06 | |
| TDNN-HMMTraining Data=Tuda-De, Vocabulary=28,131, LM=3-gram KN2018.07 | 36.32 | |
| GMM-HMMTraining Data=Tuda-De, Vocabulary=126,794, LM=3-gram KN2018.07 | 38.34 | |
| GMM-HMMTraining Data=Tuda-De, Vocabulary=28,131, LM=3-gram KN2018.07 | 45.55 |