Study on Audio Information Hiding Based on Human Auditory Perception with Phase Modulation

2021财年的主要里程碑是开发一个框架，以提高说话者匿名化的安全性。说话人匿名化通过隐藏说话人的个人身份信息来解决语音隐私问题。输出的匿名语音应该能够被授权方认证。然而，由于说话人和伪说话人之间的映射不一定是一一对应的，识别真正的匿名语音是困难的。为了解决这个问题，该框架集成了信息隐藏方法，同时通过嵌入水印来保护PII和验证内容。有关出版物包括一次国际会议和两份期刊。

The major milestone in FY2021 is developing a framework to improve the security of speaker anonymization. Speaker anonymization aims to address the voice privacy issue by suppressing the original speaker's personally identified information (PII). The output anonymized speech should be able to authenticate by the authorized parties. However, since the mapping between speaker and pseudo-speaker is not necessarily one-to-one correspondence, recognizing genuine anonymized speech is difficult. To deal with this issue, the proposed framework integrates the information hiding approach to simultaneously secure PII and verify the content via an embedded watermark. The related publications consist of one international conference and two journals.