Before revision:  Compared with the our best result obtained by using single attention mechanism (GMM-based attention ), the word error rate of long sentence synthesis decreases by 23.5\%when multi-guidance attention mechanism is applied . 2) A  efficient multi-band multi-time LPCNet , which reduces the computational complexity of LPCNet through combining multi-band and multi-time strategies ( from 2.8 to 1.0 GFLOP ).
After revision:  Compared with the our best result obtained by using single attention mechanism , multi-guidance attention not only brings better naturalness to long sentence synthesis, but also reduces the word error rate of long sentence synthesis decreases by 23.5\%when multi-guidance attention mechanism is applied . 2) A efficient multi-band multi-time LPCNet , which reduces the computational complexity of LPCNet through combining multi-band and multi-time strategies ( from 2.8 to 1.0 GFLOP ).