摘要
针对多人说话改变点检测问题,提出一种改进的BIC说话人分割算法。采用固定窗BIC算法对音频流进行分割,利用基于递归的分割算法和变长窗口的BIC算法确认潜在的分割点。实验结果表明,与其他BIC算法相比,该算法的准确率、召回率和综合性能较高。
To detect the voice change of speakers, an improved Bayesian Information Criterion（BIC） algorithm for speaker segmentation is proposed in this paper. The algorithm detects potential acoustic changes using fix-windows BIC algorithm, and validates the potential acoustic changes by two methods. One is the variable-size analysis window BIC algorithm, the other is based on the recursion of segmentation algorithm. Experimental result shows that the algorithm achieves better results, and compared with the BIC algorithm, the precision ratio, recall ratio and F-measure are improved.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第17期240-242,共3页
Computer Engineering
基金
重庆市教育委员会科学技术研究基金资助项目(KJ080524)
关键词
BIC准测
广播音频分割
准确率
召回率
Bayesian Information Criterion（BIC）
broadcasting audio segmentation
precision ratio
recall ratio
