Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Session: Chapter 1: Face, Gesture and Speech Recognition Technology

6 articles

Research of Face Recognition Method Use of MRA-Framework

Zhaoying Wu, Feng Ma, Wanshe Li
Of the face image after adding noise, face recognition rate of traditional PCA method will be significantly lowered, this paper will use orthogonal wavelet + PCA and wavelet frame + PCA methods to study it respectively. First, the face image processing plus noise, then decomposition the image under the...

A Lifelong Learning Approach for Improving Accurate Face Recognition

Zhangqu Yu
With the popularity of artificial intelligence and computer vision, an increasing number of software engineers attempt to make their systems be able to recognize the user, through the way of face recognition, e.g., Characteristic Points (i.e., CP)-based face recognition. Generally, the traditional CP-based...

A Simple Manner of Dynamic Gesture Recognition Based on Kinect

Fenggang Li, Xiangfei Jiang, Xiaobo Xia
The paper develops a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010 combining Kinect for Windows SDK v1.8. Kinect sensors can track human bodies within their effective scope in real-time and obtain the depth of the corresponding...

The Analysis of Influence Factors and Identification of Speaker-Dependent Primi Speech Recognition

Lin Guo, Yang Bai, Jie Su, Wen-lin Pan, Tian-jun Zhang
The research object is an endangered minority language of Primi on the southern dialect. This paper takes isolated-word of Primi as the primitive and uses large vocabulary of speech corpora based on HTK. The effect of different quantity of vocabularies, the sample ratio of training and testing, and the...

Non-negative Tensor Factorization for Speech Enhancement

Liang He, Weiqiang Zhang, Mengnan Shi
This paper proposes an algorithm for speech enhancement by non-negative tensor factorisation. We group adjacent time-frequency matrices in the spectrograms together to form a tensor as a basic input in our algorithm. The non-negative tensor factorisation is followed to perform sound source separation...

Application of Data Mining Technology in Intelligent Environmental Protection Systems

Guikang Gao, Mingbo Xiao, Zhen Wang
Among the pollutants in the power industry emissions, sulfur dioxide so far has the most serious impact on the environment. In the desulfurization process, it is common to have data with complex correlations, high real-time, and huge amount. Data mining has become an important technique to deal with...