计算机科学 ›› 2010, Vol. 37 ›› Issue (12): 209-210.
• 人工智能 • 上一篇 下一篇
孙文静,李士强
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SUN Wen-jing, LI Shi-qiang
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摘要： 分析音频时域特征及提取方法，研究基于支持向量机的语音分类系统流程、分类系统架构以及SVM语音分类器的设计，并进行了相关实验。结果表明，设计的基于SVM的音频分类系统能够有效地对音频进行分类，平均识别准确率达到90%以上。
关键词: 音频分类，SVM, MFCC，系统
Abstract: The timcdomain feature of audio and its extraction method were analyzed. The research of the process and architecture of a audio classification system based on SVM was made, and the SVM audio classifier was designed. The results of experiments show that the audio classification system based on SVM designed in the paper can classify audio effectively, and the average identification accuracy reaches more than 90%.
Key words: Audio classification, SVM, MFCC, System
孙文静,李士强. 基于SVM的音频分类系统设计及实现[J]. 计算机科学, 2010, 37(12): 209-210. https://doi.org/
SUN Wen-jing, LI Shi-qiang. Design and Implementation of a Audio Classification System Based on SVM[J]. Computer Science, 2010, 37(12): 209-210. https://doi.org/
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