The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

Although supervised deep learning has revolutionized speech and audio processing, it has
necessitated the building of specialist models for individual tasks and application scenarios …

Recently, neural networks based purely on self-attention, such as the Vision Transformer
(ViT), have been shown to outperform deep learning models constructed with convolutional …

Self-supervised speech representation learning (speech SSL) has demonstrated the benefit
of scale in learning rich representations for Automatic Speech Recognition (ASR) with …

Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …

Very short-term load forecasting (VSLTF) plays an essential role in guaranteeing effective
electricity dispatching and generating in residential microgrid systems. However, the …

Pancreatic cancer has the worst prognosis of all cancers. The clinical application of
endoscopic ultrasound (EUS) for the assessment of pancreatic cancer risk and of deep …

Self-supervised pretraining for Automated Speech Recognition (ASR) has shown varied
degrees of success. In this paper, we propose to jointly learn representations during …

We review autoregressive predictive coding (APC), an approach to learn speech
representation by predicting a future frame given the past frames. We present three different …

The usage of smartphone-collected respiratory sound, trained with deep learning models,
for detecting and classifying COVID-19 becomes popular recently. It removes the need for in …