Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …

The expeditious development of information technology has led to the rise of artificial
intelligence (AI). However, conventional computing systems are prone to volatility, high …

Machine learning techniques have deeply rooted in our everyday life. However, since it is
knowledge-and labor-intensive to pursue good learning performance, humans are heavily …

Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the
6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge …

Machine translation has made rapid advances in recent years. Millions of people are using it
today in online translation systems and mobile applications in order to communicate across …

Training neural networks involves finding minima of a high-dimensional non-convex loss
function. Relaxing from linear interpolations, we construct continuous paths between minima …

A decade after speech was first decoded from human brain signals, accuracy and speed
remain far below that of natural speech. Here we show how to decode the …

Voice interfaces are becoming accepted widely as input methods for a diverse set of
devices. This development is driven by rapid improvements in automatic speech recognition …

Deep neural networks have achieved remarkable success in machine learning, computer
vision, and pattern recognition in the last few decades. Recent studies, however, show that …

Spiking neural networks (SNNs) have shown clear advantages over traditional artificial
neural networks (ANNs) for low latency and high computational efficiency, due to their event …