With the advancements in singing voice generation and the growing presence of AI singers
on media platforms, the inaugural Singing Voice Deepfake Detection (SVDD) Challenge …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

Discrete representation has shown advantages in speech generation tasks, wherein
discrete tokens are derived by discretizing hidden features from self-supervised learning …

Recent singing voice synthesis and conversion advancements necessitate robust singing
voice deepfake detection (SVDD) models. Current SVDD datasets face challenges due to …

Recent advancements in speech synthesis witness significant benefits by leveraging
discrete tokens extracted from self-supervised learning (SSL) models. Discrete tokens offer …

Singing Voice Synthesis (SVS) has witnessed significant advancements with the advent of
deep learning techniques. However, a significant challenge in SVS is the scarcity of labeled …

The rapid advancement of AI-generated singing voices, which now closely mimic natural
human singing and align seamlessly with musical scores, has led to heightened concerns …

In speech generation tasks, human subjective ratings, usually referred to as the opinion
score, are considered the" gold standard" for speech quality evaluation, with the mean …

Generating novel voices in speech synthesis is a challenging task with potential for creating
versatile voices that are needed in entertainment and research. One of the primary obstacles …