1 research outputs found
About Multichannel Speech Signal Extraction and Separation Techniques
The extraction of a desired speech signal from a noisy environment has become
a challenging issue. In the recent years, the scientific community has
particularly focused on multichannel techniques which are dealt with in this
review. In fact, this study tries to classify these multichannel techniques
into three main ones: Beamforming, Independent Com-ponent Analysis (ICA) and
Time Frequency (T-F) masking. This paper also highlights their advantages and
drawbacks. However these previously mentioned techniques could not afford
satisfactory results. This fact leads to the idea that a combination of those
techniques, which is depicted along this study, may probably provide more
efficient results. In-deed, giving the fact that those approaches are still be
considered as being not totally efficient, has led us to review these mentioned
above in the hope that further researches will provide this domain with
suitable innovations.Comment: 10 pages, 11 Figures. arXiv admin note: substantial text overlap with
arXiv:1212.608