4 papers
Improving Cross-lingual Speech Synthesis with Triplet Training Scheme
Jianhao Ye, Hongbin Zhou, Zhiba Su +4
Recent advances in cross-lingual text-to-speech (TTS) made it possible to synthesize speech in a language foreign to a monolingual speaker. However, there is still a large gap betw…
MHTTS: Fast multi-head text-to-speech for spontaneous speech with imperfect transcription
Dabiao Ma, Yitong Zhang, Meng Li +1
Neural network based end-to-end Text-to-Speech (TTS) has greatly improved the quality of synthesized speech. While how to use massive spontaneous speech without transcription effic…
FPETS : Fully Parallel End-to-End Text-to-Speech System
Dabiao Ma, Zhiba Su, Wenxuan Wang +1
End-to-end Text-to-speech (TTS) system can greatly improve the quality of synthesised speech. But it usually suffers form high time latency due to its auto-regressive structure. An…
UFANS: U-shaped Fully-Parallel Acoustic Neural Structure For Statistical Parametric Speech Synthesis With 20X Faster
Dabiao Ma, Zhiba Su, Yuhao Lu +2
Neural networks with Auto-regressive structures, such as Recurrent Neural Networks (RNNs), have become the most appealing structures for acoustic modeling of parametric text to spe…