mlsanityData to 14 Oct 2026

MultiActor-Audiobook: Zero-Shot Audiobook Generation with Faces and Voices of Multiple Speakers

arXiv 2505.13082 ↗First posted 19 May 2025cs.SD cs.AI eess.AScited by 2

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Abstract (arXiv)

We introduce MultiActor-Audiobook, a zero-shot approach for generating audiobooks that automatically produces consistent, expressive, and speaker-appropriate prosody, including intonation and emotion. Previous audiobook systems have several limitations: they require users to manually configure the speaker's prosody, read each sentence with a monotonic tone compared to voice actors, or rely on costly training. However, our MultiActor-Audiobook addresses these issues by introducing two novel processes: (1) MSP (**Multimodal Speaker Persona Generation**) and (2) LSI (**LLM-based Script Instruction Generation**). With these two processes, MultiActor-Audiobook can generate more emotionally expressive audiobooks with a consistent speaker prosody without additional training. We compare our system with commercial products, through human and MLLM evaluations, achieving competitive results. Furthermore, we demonstrate the effectiveness of MSP and LSI through ablation studies.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 21 of its 23 references that are in the map. First posted on arXiv 19 May 2025.

Builds on

21 of 23 references.

References · 21

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scalecited by 379
  3. 2025VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interactioncited by 197
  4. 2024E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTScited by 152
  5. 2023Audiobox: Unified Audio Generation with Natural Language Promptscited by 120
  6. 2024VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wildcited by 120
  7. 2022PromptTTS: Controllable Text-to-Speech with Text Descriptionscited by 110
  8. 2022Transformer-based Multimodal Information Fusion for Facial Expression Analysiscited by 49
  9. 2023PromptTTS 2: Describing and Generating Voices with Text Promptcited by 48
  10. 2023PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-to-Speech Using Natural Language Descriptionscited by 25
  11. 2023EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speechcited by 15
  12. 2023LongStory: Coherent, Complete and Length Controlled Long story Generationcited by 12
9 more
  1. 2023MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesiscited by 12
  2. 2023NarrativePlay: Interactive Narrative Understandingcited by 10
  3. 2025FleSpeech: Flexibly Controllable Speech Generation with Various Promptscited by 5
  4. 2024Hear Your Face: Face-based voice conversion with F0 estimationcited by 4
  5. 2023Prosody Analysis of Audiobookscited by 3
  6. 2023Sound of Story: Multi-modal Storytelling with Audiocited by 3
  7. 2019From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Storiescited by 1
  8. 2023A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysiscited by 1
  9. 2023Expressive TTS Driven by Natural Language Prompts Using Few Human Annotationscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

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  1. 2025Dopamine Audiobook: A Training-free MLLM Agent for Emotional and Immersive Audiobook Generation ↗
  2. 2025Audiobook-CC: Controllable Long-context Speech Generation for Multicast Audiobook
  3. 2026SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks
  4. 2024Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models
  5. 2025Computational Narrative Understanding for Expressive Text-to-Speech
  6. 2024Towards Expressive Zero-Shot Speech Synthesis with Hierarchical Prosody Modeling
  7. 2026DeepASMR: LLM-Based Zero-Shot ASMR Speech Generation for Anyone of Any Voice
  8. 2025InstructAudio: Unified speech and music generation with natural language instruction