17 citations · 86 across the 18 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
eess.AS2018★ 4 cited
Linear networks based speaker adaptation for speech synthesis
Zhiying Huang, Heng Lu, Ming Lei +1
Speaker adaptation methods aim to create fair quality synthesis speech voice font for target speakers while only limited resources available. Recently, as deep neural networks base…
cs.NE2018★ 12 cited
Deep-FSMN for Large Vocabulary Continuous Speech Recognition
Shiliang Zhang, Ming Lei, Zhijie Yan +1
In this paper, we present an improved feedforward sequential memory networks (FSMN) architecture, namely Deep-FSMN (DFSMN), by introducing skip connections between memory blocks in…
cs.CL2018★ 2 cited
Deep Feed-forward Sequential Memory Networks for Speech Synthesis
Mengxiao Bi, Heng Lu, Shiliang Zhang +2
The Bidirectional LSTM (BLSTM) RNN based speech synthesis system is among the best parametric Text-to-Speech (TTS) systems in terms of the naturalness of generated speech, especial…