Description: 一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
-Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Size: 2658304 |
Author:宋小小 |
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Description: 基于模板匹配算法的识别技术，对输入的手写字符能进行实时的识别。-Recognition algorithm based on template matching techniques can input handwritten character recognition in real time. Platform: |
Size: 80896 |
Author:wjunmike |
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Description: Experimental results on Bern face database and our 350
subjects database show that our method makes impressive
performance improvement compared with the
conventional Eigenfaces and template matching techniques. Platform: |
Size: 628736 |
Author:Agus Setiawan |
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Description: This algorithm is designed to segment an satellite image using Kmeans, and then all kmeans clusters Satellite image (target image) and template image using local binary pattern (LBP) and then applied various template matching techniques between LBP Kmeans cluster and LBP template image to find the matching regions. This algorithm is designed to work with satellite images to extract the water bodies (lake, river, ocean, etc.)-This algorithm is designed to segment an satellite image using Kmeans, and then all kmeans clusters Satellite image (target image) and template image using local binary pattern (LBP) and then applied various template matching techniques between LBP Kmeans cluster and LBP template image to find the matching regions. This algorithm is designed to work with satellite images to extract the water bodies (lake, river, ocean, etc.) Platform: |
Size: 8192 |
Author:Ajitpal Brar |
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Description: In this paper, we extend Fisherface for face recognition
from one example image per son. Fisherface is one of
the most successful face recognition methods. However,
Fisherface requires several training images for each face,
so it cannot be applied to the face recognition applications
where only one example image per person is available for
training. To tackle this problem, we extended the
Fisherface method by proposing a method to derive
multiple images of a face from one single image.
Fisherface is then trained on these derived images.
Experimental results on Bern face database and our 350
subjects database show that our method makes impressive
performance improvement compared with the
conventional Eigenfaces and template matching techniques-In this paper, we extend Fisherface for face recognition
from one example image per person. Fisherface is one of
the most successful face recognition methods. However,
Fisherface requires several training images for each face,
so it cannot be applied to the face recognition applications
where only one example image per person is available for
training. To tackle this problem, we extended the
Fisherface method by proposing a method to derive
multiple images of a face from one single image.
Fisherface is then trained on these derived images.
Experimental results on Bern face database and our 350
subjects database show that our method makes impressive
performance improvement compared with the
conventional Eigenfaces and template matching techniques Platform: |
Size: 175104 |
Author:arkan |
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Search - TEMPLATE MATCHING TECHNIQUES