105 citations · 715 across the 41 of their papers we have counts for
6 papers · 1 filter
Attention-based gated scaling adaptative acoustic model for ctc-based speech recognition
Fenglin Ding, Wu Guo, Lirong Dai +1
In this paper, we propose a novel adaptive technique that uses an attention-based gated scaling (AGS) scheme to improve deep feature learning for connectionist temporal classificat…
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training
Peng-fei Wu, Zhen-hua Ling, Li-juan Liu +3
This paper proposes an end-to-end emotional speech synthesis (ESS) method which adopts global style tokens (GSTs) for semi-supervised training. This model is built based on the GST…
Singing Voice Synthesis Using Deep Autoregressive Neural Networks for Acoustic Modeling
Yuan-Hao Yi, Yang Ai, Zhen-Hua Ling +1
This paper presents a method of using autoregressive neural networks for the acoustic modeling of singing voice synthesis (SVS). Singing voice differs from speech and it contains m…
Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic and Speaker Representations
Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai
This paper presents a method of sequence-to-sequence (seq2seq) voice conversion using non-parallel training data. In this method, disentangled linguistic and speaker representation…
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification
Lanhua You, Wu Guo, Lirong Dai +1
In this paper, gating mechanisms are applied in deep neural network (DNN) training for x-vector-based text-independent speaker verification. First, a gated convolution neural netwo…
Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification
Lanhua You, Wu Guo, Lirong Dai +1
The x-vector based deep neural network (DNN) embedding systems have demonstrated effectiveness for text-independent speaker verification. This paper presents a multi-task learning…