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Emotional Speech Synthesis
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
UDDETTS: Unifying Discrete and Dimensional Emotions for Controllable Emotional Text-to-Speech
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control
Facial Expression-Enhanced TTS: Combining Face Representation and Emotion Intensity for Adaptive Speech
Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis
Speech Synthesis with Mixed Emotions
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks
EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model
End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
Exploring Transfer Learning for Low Resource Emotional TTS
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System
ASR-based Features for Emotion Recognition: A Transfer Learning Approach
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.