Articulatory Feature Detection on TIMIT (test) benchmark leaderboard · SOTA2 Research

Articulatory Feature Detection on TIMIT (test)

0.94Anterior Feature AccuracyLAS-MTL-M

Updated 5mo ago

Evaluation Results

Method	Links
LAS-MTL-M2019.07		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-M2019.07		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 Taylor2019.07		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-M2019.07		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	—