Before revision:  The performance of the spoken word embeddings generated by the proposed model was validated by (1) inspecting the vector space generated , and (2) evaluating its performance on the downstream task of next spoken word prediction in a speech .
After revision:  The performance of the spoken word embeddings generated by the proposed model was validated by (1) inspecting the vector space generated , and (2) evaluating its performance on three benchmark datasets for measuring word similarities, against existing widely used text-based language models that are trained on the transcriptions. The proposed model was able to demonstrate its robustness when compared to the other two language-based models .