Present speech separation methods are mostly built on the speech mixing in the noise-free situation, and are primarily classified in two large categories: Blind Source Separation (BSS) and Computational Auditory Scene Analysis (CASA).
英
美
- 目前的混疊語(yǔ)音分離大多是建立在無(wú)噪環(huán)境中的混疊情形下，主要以盲源分離(Blind Source Separation，BSS)和計算聲場(chǎng)景分析(ComputationalAuditory Scene Analysis，CASA)兩類(lèi)方法為主，前者是根據信號的統計特性從幾個(gè)觀(guān)測信號中恢復出未知的獨立源成分；
