Publications (4)
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Perry Lam, Huayun Zhang, Nancy F. Chen +1
Neural models are known to be over-parameterized, and recent work has shown that sparse text-to-speech (TTS) models can outperform dense models. Although a plethora of sparse metho…
SNIPER Training: Single-Shot Sparse Training for Text-to-Speech
Perry Lam, Huayun Zhang, Nancy F. Chen +2
Text-to-speech (TTS) models have achieved remarkable naturalness in recent years, yet like most deep neural models, they have more parameters than necessary. Sparse TTS models can…
Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models
Xiaobing Sun, Perry Lam, Shaohua Li +4
Modern LLMs employ safety mechanisms that extend beyond surface-level input filtering to latent semantic representations and generation-time reasoning, enabling them to recover obf…
PRESENT: Zero-Shot Text-to-Prosody Control
Perry Lam, Huayun Zhang, Nancy F. Chen +2
Current strategies for achieving fine-grained prosody control in speech synthesis entail extracting additional style embeddings or adopting more complex architectures. To enable ze…