Emotional Speech Synthesis

Overview

Emotional speech synthesis studies how to make generated speech convey feelings, intensity, and changing affect while keeping the words clear and the voice consistent. Systems use emotion labels or natural-language instructions, prosody controls such as pitch and duration, and newer autoregressive, diffusion, and flow-matching models; preference learning and activation steering offer ways to refine control. Some work also uses dialogue context or visual cues to plan an emotionally appropriate response. A central challenge is balancing expressive, fine-grained control with naturalness, intelligibility, and speaker identity, while ensuring automatic emotion measures reflect human judgments.

Latest papers

CardsList

47 papers9 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. EmoInstruct-TTS: Dual-Path Instruction-Guided Emotional Speech Synthesis

    Jun 8, 2026Minghui Wu, Ganjun Liu, Zikun Fang +6Representation LearningTTS Synthesis

  2. Task-Vector Arithmetic for Emotional Expressivity Control in Language-Model-Based Text-to-Speech

    Jun 3, 2026Daniel Oliveira de Brito, Arnaldo Candido JuniorTTS SynthesisSpeaker Embedding

  3. Sparse Autoencoders for Interpretable Emotion Control in Text-to-Speech

    May 31, 2026Hongfei Du, Jiacheng Shi, Sidi Lu +2TTS SynthesisSparse Autoencoders

  4. Sympatheia: Emotionally Adaptive Voice Assistant with Continuous Affect Conditioning

    May 30, 2026Sukru Samet Dindar, Riki Shimizu, Xilin Jiang +1Spoken Dialogue SystemsControllable Speech Generation

  5. PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis

    May 26, 2026Bowen Li, Shaotong Guo, Zhen Wang +11TTS SynthesisZero-Shot TTS

  6. DUET: Unified Dual-Space Emotion Control for Diffusion and Flow-Matching Driven Text-to-Speech

    May 20, 2026Xu Zhang, Longbing Cao, Zhangkai WuTTS SynthesisAudio Diffusion Models

  7. The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation

    Apr 29, 2026Yun-Shao Tsai, Yi-Cheng Lin, Huang-Cheng Chou +5TTS SynthesisSpeech Generation Evaluation

  8. ATRIE: Adaptive Tuning for Robust Inference and Emotion in Persona-Driven Speech Synthesis

    Apr 21, 2026Aoduo Li, Haoran Lv, Hongjian Xu +5TTS SynthesisControllable Speech Generation

  9. Bridging What the Model Thinks and How It Speaks: Expressive Speech Generation via Self-Aware Intent-Realization Alignment

    Apr 13, 2026Kuang Wang, Lai Wei, Ping Lin +8Expressive Speech SynthesisSpeech Language Models

  10. AffectSpeech: A Large-Scale Emotional Speech Dataset with Fine-Grained Textual Descriptions for Speech Emotion Captioning and Synthesis

    Apr 5, 2026Tianhua Qi, Wenming Zheng, Björn W. Schuller +2Emotional Speech SynthesisSpeech Emotion Recognition

  11. SelfTTS: cross-speaker style transfer through explicit embedding disentanglement and self-refinement using self-augmentation

    Mar 23, 2026Lucas H. Ueda, João G. T. Lima, Pedro R. Corrêa +3Disentangled Representation LearningTTS Synthesis

  12. Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models

    Mar 18, 2026Xiutian Zhao, Ismail Rasim Ulgen, Philipp Koehn +2Controllable Speech GenerationEmotional Speech Synthesis

  13. Affectron: Emotional Speech Synthesis with Affective and Contextually Aligned Nonverbal Vocalizations

    Mar 15, 2026Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1Nonverbal Vocalization GenerationEmotional Speech Synthesis

  14. EmoOmni: Bridging Emotional Understanding and Expression in Omni-Modal LLMs

    Feb 25, 2026Wenjie Tian, Zhixian Zhao, Jingbin Hu +4Multimodal Large Language ModelsEmotion-Aware Dialogue Generation