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20182026
most citedRelation Modeling with Graph Convolutional Networks for Facial Action Unit Detection

87 citations · 224 across the 60 of their papers we have counts for

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Showing 2025 · eess.ASShow all

5 papers · 2 filters

eess.AS2025

InstructAudio: Unified speech and music generation with natural language instruction

Chunyu Qiang, Kang Yin, Xiaopeng Wang +8

Text-to-speech (TTS) and text-to-music (TTM) models face significant limitations in instruction-based control. TTS systems usually depend on reference audio for timbre, offer only…

eess.AS2025

LORT: Locally Refined Convolution and Taylor Transformer for Monaural Speech Enhancement

Junyu Wang, Zizhen Lin, Tianrui Wang +3

Achieving superior enhancement performance while maintaining a low parameter count and computational complexity remains a challenge in the field of speech enhancement. In this pape…

eess.AS2025

Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis

Tianrui Wang, Haoyu Wang, Meng Ge +10

While emotional text-to-speech (TTS) has made significant progress, most existing research remains limited to utterance-level emotional expression and fails to support word-level c…

eess.AS2025

SecoustiCodec: Cross-Modal Aligned Streaming Single-Codecbook Speech Codec

Chunyu Qiang, Haoyu Wang, Cheng Gong +10

Speech codecs serve as a crucial bridge in unifying speech and text language models. Existing codec methods face several challenges in semantic encoding, such as residual paralingu…

eess.AS2025

Efficient Emotion and Speaker Adaptation in LLM-Based TTS via Characteristic-Specific Partial Fine-Tuning

Tianrui Wang, Meng Ge, Cheng Gong +11

While LLM-based TTS models exhibit zero-shot emotion and speaker cloning, their cloning fidelity and pronunciation clarity degrade on unseen domains. Fine-tuning is essential for a…