activity
20222026
most citedLow-rank Adaptation Method for Wav2vec2-based Fake Audio Detection

5 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2026

Edit Content, Preserve Acoustics: Imperceptible Text-Based Speech Editing via Self-Consistency Rewards

Yong Ren, Jiangyan Yi, Jianhua Tao +3

Imperceptible text-based speech editing modifies spoken content through transcript manipulation while preserving acoustic continuity. Prior acoustic-space approaches suffer from co…

cs.SD2026

OV-InstructTTS: Towards Open-Vocabulary Instruct Text-to-Speech

Yong Ren, Jiangyan Yi, Jianhua Tao +5

Instruct Text-to-Speech (InstructTTS) leverages natural language descriptions as style prompts to guide speech synthesis. However, existing InstructTTS methods mainly rely on a dir…

cs.SD2023

Fewer-token Neural Speech Codec with Time-invariant Codes

Yong Ren, Tao Wang, Jiangyan Yi +4

Language model based text-to-speech (TTS) models, like VALL-E, have gained attention for their outstanding in-context learning capability in zero-shot scenarios. Neural speech code…

cs.SD2023

Residual Speaker Representation for One-Shot Voice Conversion

Le Xu, Jiangyan Yi, Tao Wang +4

Recently, there have been significant advancements in voice conversion, resulting in high-quality performance. However, there are still two critical challenges in this field. First…

cs.SD2023★ 5 cited

Low-rank Adaptation Method for Wav2vec2-based Fake Audio Detection

Chenglong Wang, Jiangyan Yi, Xiaohui Zhang +3

Self-supervised speech models are a rapidly developing research topic in fake audio detection. Many pre-trained models can serve as feature extractors, learning richer and higher-l…

cs.SD2023★ 1 cited

Adaptive Fake Audio Detection with Low-Rank Model Squeezing

Xiaohui Zhang, Jiangyan Yi, Jianhua Tao +3

The rapid advancement of spoofing algorithms necessitates the development of robust detection methods capable of accurately identifying emerging fake audio. Traditional approaches,…

cs.SD2022★ 1 cited

ADD 2022: the First Audio Deep Synthesis Detection Challenge

Jiangyan Yi, Ruibo Fu, Jianhua Tao +17

Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021. However, the recent shared tasks have not covered many real-life and challenging scenarios.…