most citedGeneralized Fake Audio Detection via Deep Stable Learning

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eess.AS2024

Text Prompt is Not Enough: Sound Event Enhanced Prompt Adapter for Target Style Audio Generation

Chenxu Xiong, Ruibo Fu, Shuchen Shi +9

Current mainstream audio generation methods primarily rely on simple text prompts, often failing to capture the nuanced details necessary for multi-style audio generation. To addre…

eess.AS2024

ICAGC 2024: Inspirational and Convincing Audio Generation Challenge 2024

Ruibo Fu, Rui Liu, Chunyu Qiang +11

The Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC 2024) is part of the ISCSLP 2024 Competitions and Challenges track. While current text-to-speech (TTS) techn…

eess.AS2024

ASRRL-TTS: Agile Speaker Representation Reinforcement Learning for Text-to-Speech Speaker Adaptation

Ruibo Fu, Xin Qi, Zhengqi Wen +10

Speaker adaptation, which involves cloning voices from unseen speakers in the Text-to-Speech task, has garnered significant interest due to its numerous applications in multi-media…

eess.AS2024

MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and Generation

Ruibo Fu, Shuchen Shi, Hongming Guo +12

Foley audio, critical for enhancing the immersive experience in multimedia content, faces significant challenges in the AI-generated content (AIGC) landscape. Despite advancements…

eess.AS2023

The FruitShell French synthesis system at the Blizzard 2023 Challenge

Xin Qi, Xiaopeng Wang, Zhiyong Wang +3

This paper presents a French text-to-speech synthesis system for the Blizzard Challenge 2023. The challenge consists of two tasks: generating high-quality speech from female speake…