检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王子祥[1] 戴礼荣[1] 王玉平[1] 王仁华[1]
机构地区:[1]中国科学技术大学电子工程与信息科学系,合肥230027
出 处:《模式识别与人工智能》2006年第3期300-306,共7页Pattern Recognition and Artificial Intelligence
摘 要:介绍说话人声音转换系统框架,并对传统的基于码本映射的说话人声音转换方法进行讨论.指出传统的码本映射方法由于对谱的转换采用所有码本加权叠加,因此会产生转换后语音频谱平滑效应过重的问题,从而使转换后语音音质较差.为了克服这种问题,本文提出基于音素绑定的码本加权叠加方法来完成语音谱的转换,同时利用决策树来完成韵律的转换.实验表明,即使在数据量较少的情况下,该方法也能较好地完成说话人声音转换,并能得到较高的语音音质.The voice conversion system framework is introduced in this paper. Further, the conventional codebook mapping method for voice conversion is discussed . This paper point out that the conventional codebook mapping method, which calculates the weighting coefficients based on whole codebooks, tends to generate overly smoothed effect on converted speech spectrum, So the converted speech quality is decreased greatly. To address this problem, a novel voice conversion method based on eodebook mapping with phoneme-tied weighting is presented . And a new decision tree based prosodic conversion method is also proposed. The experiments show that the proposed methods can effectively convert speaker's individuality while maintaining high speech quality with only a small amount of training data.
分 类 号:TN912.3[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.13