In this paper, we propose a new classification scheme of MFCCs vectors in the context of speaker identification. The solution is built around the binary SVM classification between each speaker class and the background model class over the underlying spaces of the local independent components analysis using clustering. Experiments have been conducted on a sample of the MOBIO corpus.
|Journal||IEEE International Workshop on Machine Learning for Signal Processing, MLSP|
|Publication status||Published - 2013|
|Event||2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) - Southampton|
Duration: 1 Jan 2013 → …