Noise Subspace Fuzzy C-means Clustering for Robust Speech Re(11)

Abstract. In this paper a fuzzy C-means (FCM) based approach for speech/non-speech discrimination is developed to build an effective voice activity detection (VAD) algorithm. The proposed VAD method is based on a soft-decision clustering approach built ove

> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >Barely Acceptable>>> Rating <<< Acceptable>>> Comments <<< I'm not sure that your experiments is finished. Your proposed models and algorithm have good contributions. However, there should be sufficient in the point of experimental results in this paper.>>> Points in favour or against <<< If this paper is accepted in the LNCS, there should be more evidence to prove the feasibility of the proposed algorithm, and more detailed explanation on the computational experiment to support the algorithm.=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=-=*=--=*= Second reviewer's review: >>> Readability <<< Very good>>> Originality <<< Acceptable>>> Significance <<< Very good>>> Relevance <<< Very good>>> Rating <<< Very good>>> Comments <<< Authors should use LNCS page-styles. Some additional experimental data (different from Spanish database) can be given.=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=--=*=-=*=--=*=3