End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training.
Peng-Fei WuZhen-Hua LingLi-Juan LiuYuan JiangHong-Chuan WuLirong DaiPublished in: APSIPA (2019)
Keyphrases
- end to end
- speech synthesis
- supervised training
- speech recognition
- text to speech
- conditional random fields
- unsupervised learning
- training phase
- recognition process
- neural nets
- supervised learning
- admission control
- dependency parsing
- training algorithm
- hidden markov models
- congestion control
- data sets
- pattern recognition
- transport layer
- dependency parser
- application layer
- image sequences
- computer vision