This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" [IEEE MLSP 2024] and "Efficient Fine-tuning of Audio Spectrogram Transformers ...
Abstract: Recent advancements in the domain of computer vision have enabled the analysis of audio spectrograms. In this paper, we present a novel approach that leverages spectrogram representations ...
Abstract: In this work, we explore the effectiveness of log-Mel spectrogram and MFCC features for Alzheimer's dementia (AD) recognition on ADReSS challenge dataset. We use three different deep neural ...