.png){kind=icon}
返回
Automatic speech segmentation based on boundary-type candidate selection
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2006.875347.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this letter, we propose a new approach to improve the performance of automatic speech segmentation techniques for concatenative text-to-speech synthesis. Instead of using a single automatic segmentation machine (ASM), we make use of multiple ASMs to draw the final boundary time marks. Given multiple ASMs, the best time mark is chosen among the results provided by the multiple separate ASMs depending on the contextual condition. The experimental results show that our approach dramatically improves the segmentation accuracy.
Keyword:
automatic speech segmentation
speech synthesis
unit selection
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
暂无机构信息
.png){kind=icon}
