Articulatory Feature Detection on TIMIT (test)
0.94Anterior Feature AccuracyLAS-MTL-M
Evaluation results
| Method | Links | |||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LAS-MTL-MEvaluation Level=Sequence, Mapping Protocol=symbols sequence2019.07 | 0.94 | 0.94 | 0.98 | 0.98 | 0.98 | 0.96 | 0.94 | 0.97 | 0.96 | 0.96 | 0.99 | 0.99 | 0.98 | 0.93 | 0.98 | 0.97 | 0.98 | 0.99 | 0.99 | 0.98 | 0.99 | 0.98 | 0.97 | 0.97 | 0.96 | 0.99 | 0.95 | 0.97 | 0.208 | |
| LAS-MTL-MEvaluation Level=Frame, Mapping Protocol=markup frames2019.07 | 0.9 | 0.95 | 0.98 | 0.98 | 0.99 | 0.97 | 0.88 | 0.89 | 0.95 | 0.95 | 0.99 | 0.99 | 0.99 | 0.97 | 0.99 | 0.97 | 0.98 | 0.99 | 0.99 | 0.98 | 0.99 | 0.98 | 0.8 | 0.97 | 0.97 | 0.99 | 0.84 | 0.92 | 0.248 | |
| King and TaylorEvaluation Level=Frame2019.07 | 0.9 | — | 0.68 | — | — | 0.86 | 0.9 | 0.86 | 0.88 | 0.84 | — | — | — | — | 0.84 | — | 0.93 | — | — | 0.92 | — | — | 0.89 | 0.96 | 0.87 | — | 0.93 | 0.92 | 0.4 | |
| LAS-MTL-MEvaluation Level=Frame, Mapping Protocol=direct projection2019.07 | 0.69 | 0.77 | 0.94 | 0.93 | 0.91 | 0.88 | 0.64 | 0.68 | 0.83 | 0.89 | 0.98 | 0.96 | 0.96 | 0.82 | 0.93 | 0.94 | 0.91 | 0.99 | 0.97 | 0.91 | 0.99 | 0.9 | 0.63 | 0.85 | 0.81 | 0.95 | 0.72 | 0.7 | — |