Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …

In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

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 …

How can we leverage digital technologies to enhance language learning and bilingual
representation? In this digital era, our theories and practices for the learning and teaching of …

The CHiME challenge series aims to advance robust automatic speech recognition (ASR)
technology by promoting research at the interface of speech and language processing …

Speaker extraction aims to mimic humans' selective auditory attention by extracting a target
speaker's voice from a multi-talker environment. It is common to perform the extraction in …

Speech enhancement and automatic speech recognition (ASR) are most often evaluated in
matched (or multi-condition) settings where the acoustic conditions of the training data …

Speech enhancement (SE) aims to reduce noise in speech signals. Most SE techniques
focus only on addressing audio information. In this paper, inspired by multimodal learning …

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 …

We have long envisioned that one day computers will understand natural language and
anticipate what we need, when and where we need it, and proactively complete tasks on our …