Recent breakthroughs in deep learning and artificial intelligence technologies have enabled
numerous mobile applications. While traditional computation paradigms rely on mobile …

The Liquid State Machine (LSM) is a recently developed computational model with
interesting properties. It can be used for pattern classification, function approximation and …

We consider the problem of continuous computer-vision based analysis of video streams
from mobile cameras over extended periods. Given high computational demands, general …

Reservoir computing (RC) is a computational framework for neural network based
information processing. Little work, however, has been conducted on adapting the structure …

在简单介绍听觉外周特性之后, 对近30 年听觉外周计算模型的研究及其在语音识别领域的应用
进行了评述, 针对未来语音信号处理领域中听觉外周的建模, 提出了一些设想; …

The current speech interfaces in many military applications may be adequate for native
speakers. However, the recognition rate drops quite a lot for non-native speakers (people …

The automatic recognition of speaker-independent digits requires high accuracy and
robustness to noise and variability. Spiking neural networks (SNNs) are a promising model …

Automatic speech recognition systems have seen a rapid development in recent years, and
in many cases they have evolved from prototypes to actually useful and productive tools …

ABSTRACT The Liquid State Machine (LSM) is a recently developed computational model
[1] with interesting properties. It can be used for pattern classification, function approximation …

Research into laughter classification is a compelling field that captivates scientists and
sociologists seeking to unravel the enigmatic nature of this social signal. This paralinguistic …