activity
20202026
most citedMake-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

47 citations · 159 across the 28 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.SD2025

SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization

Jiehui Luo, Yuguo Yin, Yuxin Xie +6

Contrastive language-audio pretraining, which aims to unify multimodal representations in a shared embedding space, serves as a cornerstone for building a wide range of application…

eess.AS2025

CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech

Helin Wang, Jiarui Hai, Dading Chong +11

Recent advancements in generative artificial intelligence have significantly transformed the field of style-captioned text-to-speech synthesis (CapTTS). However, adapting CapTTS to…

eess.AS2025

SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline

Helin Wang, Jiarui Hai, Dongchao Yang +7

Target Speech Extraction (TSE) aims to isolate a target speaker's voice from a mixture of multiple speakers by leveraging speaker-specific cues, typically provided as auxiliary aud…

cs.CV2025

VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning

Xianwei Zhuang, Yuxin Xie, Yufan Deng +5

In this work, we present VARGPT-v1.1, an advanced unified visual autoregressive model that builds upon our previous framework VARGPT. The model preserves the dual paradigm of next-…

cs.SD2025

ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution Errors

Yuguo Yin, Yuxin Xie, Wenyuan Yang +5

Multilingual audio-text retrieval (ML-ATR) is a challenging task that aims to retrieve audio clips or multilingual texts from databases. However, existing ML-ATR schemes suffer fro…