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ResearchFormerly WizWand

Articulatory-to-Acoustic Inversion on EMA seen speakers (test)

0.8826CCACP-T
0.7288880.7687940.80870.848606Jul 2, 2026
Updated 4mo ago

Evaluation results

MethodLinks
ACP-TInputs=TERA, EMA data used for training (%)=1002026.070.88260.995
BaselineInputs=TERA, EMA data used for training (%)=1002026.070.88121.0103
ACP-TInputs=MFCC, EMA data used for training (%)=1002026.070.87971.0135
BaselineInputs=MFCC, EMA data used for training (%)=1002026.070.87781.019
BaselineInputs=TERA, EMA data used for training (%)=752026.070.8771.022
ACP-TInputs=TERA, EMA data used for training (%)=752026.070.87541.36
ACP-TInputs=MFCC, EMA data used for training (%)=752026.070.87311.085
BaselineInputs=MFCC, EMA data used for training (%)=752026.070.87231.044
ACP-TInputs=TERA, EMA data used for training (%)=502026.070.86391.077
BaselineInputs=TERA, EMA data used for training (%)=502026.070.86291.0759
ACP-TInputs=MFCC, EMA data used for training (%)=502026.070.86161.085
BaselineInputs=MFCC, EMA data used for training (%)=502026.070.85631.0939
ACP-TInputs=MFCC, EMA data used for training (%)=252026.070.83791.1694
ACP-TInputs=TERA, EMA data used for training (%)=252026.070.83781.171
BaselineInputs=TERA, EMA data used for training (%)=252026.070.83621.1649
BaselineInputs=MFCC, EMA data used for training (%)=252026.070.82541.1964
ACP-TInputs=MFCC, EMA data used for training (%)=12.52026.070.81121.262
ACP-TInputs=TERA, EMA data used for training (%)=12.52026.070.81021.253
BaselineInputs=TERA, EMA data used for training (%)=12.52026.070.80451.2657
ACP-TInputs=TERA, EMA data used for training (%)=6.252026.070.7871.325
BaselineInputs=MFCC, EMA data used for training (%)=12.52026.070.78571.318
ACP-TInputs=MFCC, EMA data used for training (%)=6.252026.070.78111.3535
BaselineInputs=TERA, EMA data used for training (%)=6.252026.070.77221.368
BaselineInputs=MFCC, EMA data used for training (%)=6.252026.070.73481.4394