Studies on high-performance and high-speed blind source separation

本研究的目的是开发一个盲源分离（BSS）系统，通过去除噪声和混响来恢复高质量的目标语音，并建立所需的信号处理技术。从语音稀疏性的观点出发，已经提出了几种方法来解决基于独立分量分析的当前BSS系统固有的问题。这些方法有望成为实时提取目标语音的基础。

The purpose of this research is to develop a blind source separation (BSS) system restoring a target speech sound with high quality by removing noise and reverberation, and to establish the required signal processing technique. From a viewpoint of sparseness of speech sounds, several approaches have been proposed to solve the problems inherent to the current BSS system based on independent component analysis. These approaches are expected to be bases for extracting the target speech immediately in a real-time manner.