3 accepted papers
In this paper, we present our comprehensive study aimed at enhancing the generalization capabilities of audio deepfake detection models. We investigate the performance of various pre-trained backbones, including Wav2Vec2, WavLM, and Whisper, across a diverse set of datasets, including those from the…
We describe a general-purpose end-to-end audio embeddings generator that can be easily adapted to various acoustic scene and event classification applications. In contrast to many other models for audio classification, this end-to-end embeddings generator does not require a separate feature extracti…
Considering the dereverberation problem using multichannel processing, two main paradigms exist. The first paradigm utilizes the long-term correlation of the reverberant component for reducing it, e.g. Weighted Prediction Error (WPE) [1]. The second paradigm, treats the reverberation as a diffuse no…