Knowledge Commons of Institute of Automation,CAS
FOCUSING ON ATTENTION: PROSODY TRANSFER AND ADAPTATIVE OPTIMIZATION STRATEGY FOR MULTI-SPEAKER END-TO-END SPEECH SYNTHESIS | |
Fu, Ruibo1,2; Tao, Jianhua1,2,3; Wen, Zhengqi1; Yi, Jiangyan1; Wang, Tao1,2 | |
2020-05 | |
会议名称 | ICASSP2020 |
会议日期 | 2020-5 |
会议地点 | 网上虚拟会议 |
会议录编者/会议主办者 | IEEE |
出版者 | ieee |
摘要 | End-to-end speech synthesis can generate high-quality synthetic speech and achieve high similarity scores with low-resource adaptation data. However, the generalization of out-domain texts is still a challenging task. The limited adaptation data leads to unacceptable errors and the poor prosody performance of the synthetic speech. In this paper, we present two novel methods to handle the above problems by focusing on the attention. Firstly, compared with the conventional methods that extract prosody embeddings for conditioning input, a duration controller with feedback mechanism is proposed, which can control the states transition in the sequence-to-sequence model more directly and precisely. Secondly, to alleviate the unmatching text-audio pairs’ impact on model, an adaptative optimization strategy which would consider the matching degree of the training sample is also proposed. Experimental results on Mandarin dataset show that proposed methods lead to an improvement on both robustness and overall naturalness. |
关键词 | prosody transfer optimization strategy speaker adaptation attention speech synthesis |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 语音识别与合成 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39596 |
专题 | 多模态人工智能系统全国重点实验室_智能交互 |
通讯作者 | Fu, Ruibo |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.CAS Center for Excellence in Brain Science and Intelligence Technology |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Fu, Ruibo,Tao, Jianhua,Wen, Zhengqi,et al. FOCUSING ON ATTENTION: PROSODY TRANSFER AND ADAPTATIVE OPTIMIZATION STRATEGY FOR MULTI-SPEAKER END-TO-END SPEECH SYNTHESIS[C]//IEEE:ieee,2020. |
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icassp2020发表版本.pdf(154KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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