31 citations · 84 across the 13 of their papers we have counts for
4 papers · 1 filter
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes
Pavel Korshunov, Haolin Chen, Philip N. Garner +1
The task of deepfakes detection is far from being solved by speech or vision researchers. Several publicly available databases of fake synthetic video and speech were built to aid…
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Mutian He, Philip N. Garner
Recently, large pretrained language models have demonstrated strong language understanding capabilities. This is particularly reflected in their zero-shot and in-context learning a…
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation
Mutian He, Philip N. Garner
End-to-end spoken language understanding (SLU) remains elusive even with current large pretrained language models on text and speech, especially in multilingual cases. Machine tran…
An investigation into the adaptability of a diffusion-based TTS model
Haolin Chen, Philip N. Garner
Given the recent success of diffusion in producing natural-sounding synthetic speech, we investigate how diffusion can be used in speaker adaptive TTS. Taking cues from more tradit…