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Emotional Speech Synthesis

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Showing 1–25 of 26 papers

TitleStatusHype
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-SpeechCode2
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion ControlCode2
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical VectorCode2
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech SynthesisCode2
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech SynthesisCode1
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio AnalysisCode1
Exploring Transfer Learning for Low Resource Emotional TTSCode1
Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization—0
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model—0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
UDDETTS: Unifying Discrete and Dimensional Emotions for Controllable Emotional Text-to-Speech—0
Facial Expression-Enhanced TTS: Combining Face Representation and Emotion Intensity for Adaptive Speech—0
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks—0
Multi-stream Attention-based BLSTM with Feature Segmentation for Speech Emotion Recognition—0
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis—0
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis—0
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System—0
Speech Synthesis with Mixed Emotions—0
Versatile Speech Databases for High Quality Synthesis for Basque—0
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training—0
An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System—0
ASR-based Features for Emotion Recognition: A Transfer Learning Approach—0
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations—0
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis—0
DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech—0
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