通过对比嵌入重复播放来进行同意管理的演讲者的动态识别
IEEE transactions on neural networks and learning systems
|October 3, 2023
概括
本研究引入了一种用于语音助理同意管理的新型语音识别系统. 它有效地处理用户注册,删除和重新注册,改善隐私和系统性能.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 语音助理需要强大的同意管理,因为持续的音频监控.
- 扬声器识别为同意提供了一个保护隐私的解决方案,但动态扬声器处理具有挑战性.
研究的目的:
- 开发一个高效和动态的语音识别系统,用于语音助理的同意管理.
- 解决实时登记,删除和重新登记演讲者的挑战.
主要方法:
- 基于对比的培训方法被用来学习说话者的特定特征.
- 用重播缓冲器代训练特征,并通过多条纹随机抽样器进行选择.
- 开发了用于动态扬声器注册,删除和重新注册的新方法.
主要成果:
- 拟议的系统展示了内存效率和动态能力.
- 它在收率和参数效率方面表现优于现有方法.
- 实验结果验证了动态处理方法的有效性.
结论:
- 开发的系统为语音助理的基于语音识别的同意管理提供了一个高效和可扩展的解决方案.
- 新的动态处理方法显著提高了系统的适应性和性能.
- 这种方法提高了用户的隐私,同时保持了语音助理的高效运行.
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