摘要旋转机械的升降速过程是一种非平稳过程对其测试信号进行分析需要用时频分析方法如短
时傅里叶变换(STFT) 及小波变换等方法对于多分量信号峰值搜索法经常被用来获取旋转机械在 …

The performance of well-trained speech recognizers using high quality full bandwidth
speech data is usually degraded when used in real world environments. In particular …

This paper introduces a nonlinear vector-based feature mapping approach to extract robust
features for automatic speech recognition (ASR) of overlapping speech using a microphone …

When the training and testing conditions are not similar, statistical speech recognition
algorithms suffer from severe degradation in recognition accuracy. Even when the …

Abstract Hidden Markov Models (HMMs) have been used with considerable success in
continuous speech recognition. It is well known that high accuracy can be obtained when …

This paper investigates a multilayer perceptron (MLP) based acoustic feature mapping to
extract robust features for automatic speech recognition (ASR) of overlapping speech. The …

This paper investigates a non-linear mapping approach to extract robust features for ASR
and speech separation of overlapping speech. Based on our previous studies, we continue …

Optimal Automatic Speech Recognition takes place when the evaluation is done under
circumstances identical to those in which the recognition system was trained. In the speech …