We present a novel one-shot talking head synthesis method that achieves disentangled and
fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression …

Conventionally, the extraction of hand-crafted acoustic features has been separated from the
task of establishing robust machine-learning models in speech processing. The manual …

We present the latest iteration of the voice conversion challenge (VCC) series, a bi-annual
scientific event aiming to compare and understand different voice conversion (VC) systems …

pyannote. audio is an open-source toolkit written in Python for speaker diarization. Version
2.1 introduces a major overhaul of pyannote. audio default speaker diarization pipeline …

The automatic speaker verification task has achieved great success using deep learning
approaches with a large-scale, manually annotated dataset. However, collecting a …

Training robust speaker verification systems without speaker labels has long been a
challenging task. Previous studies observed a large performance gap between self …

With a recent influx of voice generation methods, the threat introduced by audio DeepFake
(DF) is ever-increasing. Several different detection methods have been presented as a …

Amphion is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support
reproducible research and help junior researchers and engineers get started in the field of …

In real application scenarios, it is often challenging to obtain a large amount of labeled data
for speaker representation learning due to speaker privacy concerns. Self-supervised …

In multi-lingual societies, where multiple languages are spoken in a small geographic
vicinity, informal conversations often involve mix of languages. Existing speech technologies …