26 citations · 107 across the 24 of their papers we have counts for
5 papers · 1 filter
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
Rui Liu, Berrak Sisman, Haizhou Li
Recently, emotional speech synthesis has achieved remarkable performance. The emotion strength of synthesized speech can be controlled flexibly using a strength descriptor, which i…
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
Zhaojie Luo, Shoufeng Lin, Rui Liu +3
Emotional voice conversion (VC) aims to convert a neutral voice to an emotional (e.g. happy) one while retaining the linguistic information and speaker identity. We note that the d…
VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over
Junchen Lu, Berrak Sisman, Rui Liu +2
In this paper, we formulate a novel task to synthesize speech in sync with a silent pre-recorded video, denoted as automatic voice over (AVO). Unlike traditional speech synthesis,…
Emotional Voice Conversion: Theory, Databases and ESD
Kun Zhou, Berrak Sisman, Rui Liu +1
In this paper, we first provide a review of the state-of-the-art emotional voice conversion research, and the existing emotional speech databases. We then motivate the development…
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
Rui Liu, Berrak Sisman, Haizhou Li
Emotional text-to-speech synthesis (ETTS) has seen much progress in recent years. However, the generated voice is often not perceptually identifiable by its intended emotion catego…