电脑知识与技术
電腦知識與技術
전뇌지식여기술
COMPUTER KNOWLEDGE AND TECHNOLOGY
2014年
26期
6184-6186
,共3页
视频语义分析%情感区间划分%情感计算%音频分类%分层二叉树支持向量机
視頻語義分析%情感區間劃分%情感計算%音頻分類%分層二扠樹支持嚮量機
시빈어의분석%정감구간화분%정감계산%음빈분류%분층이차수지지향량궤
audio semantic analysis%emotional range division%affective computing%audio classification%binary tree based support vector machine
该文提出一种音频情感区间划分方法。该方法以提取音频情感语义方面为目的，可以有效地划分出视频流中音频通道的情感区间。首先，事先选定若干种音频中层情感认知类型，并采用基于分层二叉树SVM分类算法对每个音频段进行中层情感认知初分类，然后提出一种基于规则的分类结果平滑策略对初分类结果进行平滑。最后，利用从中层认知到高层情感感知的映射机制，将中层认知映射到高层情感感知以识别高层情感语义，最终完成音频情感区间划分。实验证明，该方法对音频情感区间划分具有良好的效果。
該文提齣一種音頻情感區間劃分方法。該方法以提取音頻情感語義方麵為目的，可以有效地劃分齣視頻流中音頻通道的情感區間。首先，事先選定若榦種音頻中層情感認知類型，併採用基于分層二扠樹SVM分類算法對每箇音頻段進行中層情感認知初分類，然後提齣一種基于規則的分類結果平滑策略對初分類結果進行平滑。最後，利用從中層認知到高層情感感知的映射機製，將中層認知映射到高層情感感知以識彆高層情感語義，最終完成音頻情感區間劃分。實驗證明，該方法對音頻情感區間劃分具有良好的效果。
해문제출일충음빈정감구간화분방법。해방법이제취음빈정감어의방면위목적，가이유효지화분출시빈류중음빈통도적정감구간。수선，사선선정약간충음빈중층정감인지류형，병채용기우분층이차수SVM분류산법대매개음빈단진행중층정감인지초분류，연후제출일충기우규칙적분류결과평활책략대초분류결과진행평활。최후，이용종중층인지도고층정감감지적영사궤제，장중층인지영사도고층정감감지이식별고층정감어의，최종완성음빈정감구간화분。실험증명，해방법대음빈정감구간화분구유량호적효과。
This paper proposes a emotion perception based division approach of audio emotional range, which starts with the au-dio emotional semantic analysis and works well. Firstly, several kinds of middle-level emotional cognitive type are selected in ad-vance. An hierarchical binary tree based SVM classifier algorithm is performed to classify the middle-level emotional cognitive type initially. Next, for the purpose of finishing emotion labeling, a rule based smoothing strategy for emotional ranges is proposed to smooth the former classification results. Finally, a mapping mechanism, from middle-level cognitive types to high-level emo-tional perceptional types, is adopted to synchronize the high-level audio emotional perception results onto the horizontal axis of audio energy curve. Experimental results demonstrate that the proposed scheme is effective for audio emotional range division.
