[Retracted] Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method

Table 2

The RMSE (Hz) and r on the test set when using GMM, BiLSTM-RNN, and BiLSTM-CNN for EMA-to-F2 conversion.

	GMM	BiLSTM-RNN	BiLSTM-CNN
RMSE	37.13	26.42	22.10
r	0.565	0.625	0.738