activity
20242026
collaborators

11 papers

eess.AS2026

DuraMark: Duration-Embedded Watermarking in LLM-based TTS

Zhenwei Mou, Weili Jiang, Liping Chen +4

Large language model (LLM)-based text-to-speech (TTS) models have achieved remarkable voice cloning capabilities, raising concerns about potential deepfake misuse. Speech watermark…

eess.AS2026

ProSDD: Learning Prosodic Representations for Speech Deepfake Detection against Expressive and Emotional Attacks

Aurosweta Mahapatra, Ismail Rasim Ulgen, Kong Aik Lee +2

Speech deepfake detection (SDD) systems perform well on standard benchmarks datasets but often fail to generalize to expressive and emotional spoofing attacks. Many methods rely on…

eess.AS2025

IDMap: A Pseudo-Speaker Generator Framework Based on Speaker Identity Index to Vector Mapping

Zeyan Liu, Liping Chen, Kong Aik Lee +1

Facilitated by the speech generation framework that disentangles speech into content, speaker, and prosody, voice anonymization is accomplished by substituting the original speaker…

eess.AS2025

Pinhole Effect on Linkability and Dispersion in Speaker Anonymization

Kong Aik Lee, Zeyan Liu, Liping Chen +1

Speaker anonymization aims to conceal speaker-specific attributes in speech signals, making the anonymized speech unlinkable to the original speaker identity. Recent approaches ach…

eess.AS2025

A Study of the Removability of Speaker-Adversarial Perturbations

Liping Chen, Chenyang Guo, Kong Aik Lee +2

Recent advancements in adversarial attacks have demonstrated their effectiveness in misleading speaker recognition models, making wrong predictions about speaker identities. On the…

eess.AS2025

Investigation of perception inconsistency in speaker embedding for asynchronous voice anonymization

Rui Wang, Liping Chen, Kong Aik Lee +2

Given the speech generation framework that represents the speaker attribute with an embedding vector, asynchronous voice anonymization can be achieved by modifying the speaker embe…