What is it about?
A wavelet decomposition based preprocessing applied in individual training speeg signals as well as testing mixed speech signal followed by SNMF. Algorithm provide individual speech signals those are easy to understand and has better objective understanding parameters.
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Why is it important?
It is important because speech operated machines as well as human being can not understand mixed speech signals of multiple speakers as compare to individual speech signals.
Perspectives
Algorithm is explained with many facts. Paper is very good for beginners in speechs separation.
yash varshney
Aligarh Muslim University
Read the Original
This page is a summary of: Frequency Selection Based Separation of Speech Signals with Reduced Computational Time Using Sparse NMF, Archives of Acoustics, January 2017, De Gruyter,
DOI: 10.1515/aoa-2017-0031.
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