activity
20232026
collaborators

10 papers

eess.AS2026

Universal Speech Content Factorization

Henry Li Xinyuan, Zexin Cai, Lin Zhang +5

We propose Universal Speech Content Factorization (USCF), a simple and invertible linear method for extracting a low-rank speech representation in which speaker timbre is suppresse…

eess.AS2025

Rapidly Adapting to New Voice Spoofing: Few-Shot Detection of Synthesized Speech Under Distribution Shifts

Ashi Garg, Zexin Cai, Henry Li Xinyuan +5

We address the challenge of detecting synthesized speech under distribution shifts -- arising from unseen synthesis methods, speakers, languages, or audio conditions -- relative to…

eess.AS2025

Scalable Controllable Accented TTS

Henry Li Xinyuan, Zexin Cai, Ashi Garg +5

We tackle the challenge of scaling accented TTS systems, expanding their capabilities to include much larger amounts of training data and a wider variety of accent labels, even for…

eess.AS2025

ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts

Ashi Garg, Zexin Cai, Lin Zhang +6

The problem of synthetic speech detection has enjoyed considerable attention, with recent methods achieving low error rates across several established benchmarks. However, to what…

eess.AS2025

GenVC: Self-Supervised Zero-Shot Voice Conversion

Zexin Cai, Henry Li Xinyuan, Ashi Garg +5

Most current zero-shot voice conversion methods rely on externally supervised components, particularly speaker encoders, for training. To explore alternatives that eliminate this d…

eess.AS2024

HLTCOE JHU Submission to the Voice Privacy Challenge 2024

Henry Li Xinyuan, Zexin Cai, Ashi Garg +5

We present a number of systems for the Voice Privacy Challenge, including voice conversion based systems such as the kNN-VC method and the WavLM voice Conversion method, and text-t…

cs.CR2024

Clean Label Attacks against SLU Systems

Henry Li Xinyuan, Sonal Joshi, Thomas Thebaud +3

Poisoning backdoor attacks involve an adversary manipulating the training data to induce certain behaviors in the victim model by inserting a trigger in the signal at inference tim…

eess.AS2024

Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization

Zexin Cai, Henry Li Xinyuan, Ashi Garg +5

Advances in speech technology now allow unprecedented access to personally identifiable information through speech. To protect such information, the differential privacy field has…

cs.CL2023

HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation

Cihan Xiao, Henry Li Xinyuan, Jinyi Yang +4

We introduce HK-LegiCoST, a new three-way parallel corpus of Cantonese-English translations, containing 600+ hours of Cantonese audio, its standard traditional Chinese transcript,…

cs.CL2023

Learning a Formality-Aware Japanese Sentence Representation

Henry Li Xinyuan, Ray Lee, Jerry Chen +1

While the way intermediate representations are generated in encoder-decoder sequence-to-sequence models typically allow them to preserve the semantics of the input sentence, input…