| 蚁群聚类神经网络的耳语音声调识别 |
| |
| 引用本文： | 陈雪勤,赵鹤鸣,俞一彪. 蚁群聚类神经网络的耳语音声调识别[J]. 应用科学学报, 2008, 26(5): 511 |
| |
| 作者姓名： | 陈雪勤 赵鹤鸣 俞一彪 |
| |
| 作者单位： | 苏州大学 电子信息学院，江苏 苏州 215021 |
| |
| 基金项目： | 国家自然科学基金，江苏省高校自然科学基金 |
| |
| 摘 要： | 提出了一种基于蚁群聚类神经网络的汉语耳语音声调识别方法.根据耳语音发音特点，以听神经平均发放率、幅值包络、共振峰、声道长度等构成的多维矢量描述声调特征，采用蚁群聚类算法将多维特征矢量聚类后，送入局部有监督特征映射神经网络进行声调识别.这一方法通过对特征参数的聚类压缩了神经网络的输入神经元数目，因而可以有效避免在大数据条件下神经网络不易收敛及速度慢的问题.对多人耳语音声调的识别实验显示，采用蚁群聚类神经网络的耳语音声调识别方法与传统方法相比,性能明显提高，平均正识率达到87.5%.
|
| 关 键 词： | 耳语音 声调检测 蚁群聚类 神经网络 |
| 收稿时间： | 2008-05-07 |
| 修稿时间： | 2008-07-02 |
Tone Recognition of Whispered Mandarin Using Ant Colony Clustering Neural Network |
| |
| CHEN Xue-qin,ZHAO He-ming,YU Yi-biao. Tone Recognition of Whispered Mandarin Using Ant Colony Clustering Neural Network[J]. Journal of Applied Sciences, 2008, 26(5): 511 |
| |
| Authors: | CHEN Xue-qin ZHAO He-ming YU Yi-biao |
| |
| Affiliation: | School of Electronics and Information Engineering, Soochow University, Suzhou 215021， China |
| |
| Abstract: | Based on analysis of acoustic and perception characteristics of whispered mandarin speech, a tone detection method using ant colony clustering is proposed. A multi-dimension feature vector consisted of amplitude envelope, formant, vocal tract length, average firing rate of auditory nerves is chosen as the mainly cue for whispered tone. The feature vectors are clustered by ant colony algorithm and then input to regional supervised feature mapping neural network for training and recognizing. The experiment results show that 87.5% average recognition accuracy could be reached and the performance of proposed method is improved significantly compared with classical models. |
| |
| Keywords: | whispered speech tone detection ant colony clustering neural network |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《应用科学学报》浏览原始摘要信息 |
|
点击此处可从《应用科学学报》下载全文 |
