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20212026
most citedAn Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

83 citations · 165 across the 56 of their papers we have counts for

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Showing 2024 · eess.ASShow all

5 papers · 2 filters

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

VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing

Chunyu Qiang, Wang Geng, Yi Zhao +12

Deep learning has brought significant improvements to the field of cross-modal representation learning. For tasks such as text-to-speech (TTS), voice conversion (VC), and automatic…

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…