A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification

机译：基于自增长概率决策的神经网络的主播/说话人识别

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In this paper, we propose a new clustering algorithm for a mixture Gaussian based neural network, called Self-growing Probabilistic decision-based neural networks (SPDNN). The proposed Self-growing cluster learning (SGCL) algorithm is able to find the natural number of prototypes based on a self-growing validity measure, Bayesian Information Criterion (BIC). The learning process starts with a single prototype randomly initialized in the feature space and grows adaptively during the learning process until most appropriate number of prototypes are found. We have conduct numerical and real world experiments to de-mostrate the effectiveness of the SGCL algorithm. In the results of using SGCL to trainin the SPDNN for anchor/speaker identification, we have observed noticeable improvement among various model-based or vector quantization-based classification schemes.

机译：在本文中，我们为基于混合高斯的神经网络提出了一种新的聚类算法，称为自增长概率决策神经网络（SPDNN）。提出的自增长聚类学习（SGCL）算法能够基于自增长有效性度量贝叶斯信息准则（BIC）找到自然数量的原型。学习过程始于在特征空间中随机初始化的单个原型，并在学习过程中自适应增长，直到找到最合适数量的原型为止。我们进行了数值和实际实验，以降低SGCL算法的有效性。在使用SGCL训练SPDNN进行锚/说话人识别的结果中，我们观察到了各种基于模型或基于矢量量化的分类方案之间的显着改进。

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《Joint International Conference on Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003 Jun 26-29, 2003 Istanbul, Turkey》|2003年|p.686-694|共9页
会议地点 Istanbul(TR);Istanbul(TR);Istanbul(TR);Istanbul(TR)
作者
Y.H. Chen; C.L. Tseng; Hsin-Chia Pu; H.T. Pao;
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Department of Computer Science and Information Engineering, National Chiao-Tung University, 300 Hsinchu, Taiwan ROC;

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正文语种 eng
中图分类自动化技术、计算机技术;
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1. User adaptive handwriting recognition by self-growing probabilistic decision-based neural networks [J] . Hsin-Chia Fu, Hung-Yuan Chang IEEE Transactions on Neural Networks . 2000,第6期

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2. A self-growing probabilistic decision-based neural network with automatic data clustering [J] . C.L. Tseng, Y.H. Chen, Y.Y. Xu, Neurocomputing . 2004,第Oct期

机译：具有自动数据聚类的自增长概率决策型神经网络
3. Texture recognition by generalized probabilistic decision-based neural networks [J] . Yeong-Yuh Xu, C.-L. Tseng, Hsin-Chia Fu Expert Systems with Application . 2011,第5期

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4. A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification [C] . Y. H. Chen, C. L. Tseng, Hsin-Chia Fu, International Conference on Artificial Neural Networks . 2003

机译：基于锚/扬声器识别的自增长概率决策神经网络
5. Robust speaker identification using artificial neural networks. [D] . Sivathanu Pillai, Madhavan. 2006

机译：使用人工神经网络进行健壮的说话人识别。
6. A Novel Classification and Identification Scheme of Emitter Signals Based on Wards Clustering and Probabilistic Neural Networks with Correlation Analysis [O] . Xiaofeng Liao, Bo Li, Bo Yang 2018

机译：基于沃德聚类和关联分析的概率神经网络的辐射源信号分类识别新方案
7. Probabilistic Decision-Based Neural Networks For Speech Pattern Classification [O] . K. K. Yiu, M. W. Mak, C. K. Li 2007

机译：基于概率决策的语音模式分类神经网络
8. Genetically Optimised Feedforward Neural Networks for Speaker Identification [R] . Price, R. , Willmore, J. , Roberts, W. 1999

机译：用于说话人识别的遗传优化前馈神经网络

A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification

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