Knowledge Commons of Institute of Automation,CAS
Bi-level Speaker Supervision for One-shot Speech Synthesis | |
Wang T(汪涛) | |
2020-04 | |
会议名称 | INTERSPEECH 2020 |
会议日期 | 2020 |
会议地点 | Online |
摘要 | The gap between speaker characteristics of reference speech and synthesized speech remains a challenging problem in one-shot speech synthesis. In this paper, we propose a bi-level speaker supervision framework to close the speaker characteristics gap via supervising the synthesized speech at speaker feature level and speaker identity level. The speaker feature extraction and speaker identity reconstruction are integrated in an end-to-end speech synthesis network, with the one on speaker feature level for closing speaker characteristics and the other on speaker identity level for preserving identity information. This framework guarantees that the synthesized speech has similar speaker characteristics to original speech, and it also ensures the distinguishability between different speakers. Additionally, to solve the inflfluence of speech content on speaker feature extraction task, we propose a text-independent reference encoder (ti-reference encoder) module to extract speaker feature. Experiments on LibriTTS dataset show that our model is able to generate the speech similar to target speaker. Furthermore, we demonstrate that this model can learn meaningful speaker representations by bi-level speaker supervision and ti-reference encoder module. |
七大方向——子方向分类 | 智能交互 |
国重实验室规划方向分类 | 语音语言处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52360 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
作者单位 | Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Wang T. Bi-level Speaker Supervision for One-shot Speech Synthesis[C],2020. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Bi-level Speaker Sup(659KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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