Before revision:  The key components of Triple M are: 1) A seq2seq model with multi-guidance attention which obtains stable feature generation and robust long sentence synthesis ability by learning from the guidance attention mechanisms . Multi-guidance attention improves the robustness and naturalness of long sentence synthesis without any in-domain performance loss or online service modification.
After revision:  The key components of Triple M are: 1) A sequence-to-sequence model adopts a novel multi-guidance attention which obtains stable feature generation and robust long sentence synthesis ability by learning from the guidance attention mechanisms . Multi-guidance attention improves the robustness and naturalness of long sentence synthesis without any in-domain performance loss or online service modification.