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Found 5 papers, 2 papers with code
Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification
In this paper, we propose a method to detect the presence of adversarial examples, i. e., a binary classifier distinguishing between benign and adversarial examples.
Leveraging Pretrained Image-text Models for Improving Audio-Visual Learning
Cascaded SpeechCLIP attempted to generate localized word-level information and utilize both the pretrained image and text encoders.
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model
We present a novel typical-to-atypical voice conversion approach (DuTa-VC), which (i) can be trained with nonparallel data (ii) first introduces diffusion probabilistic model (iii) preserves the target speaker identity (iv) is aware of the phoneme duration of the target speaker.
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition
Speech super-resolution/Bandwidth Extension (BWE) can improve downstream tasks like Automatic Speaker Verification (ASV).
On the invertibility of a voice privacy system using embedding alignement
This paper explores various attack scenarios on a voice anonymization system using embeddings alignment techniques.
