Speaker Identification Using Semi-supervised Learning
- Cite this paper as:
- Fazakis N., Karlos S., Kotsiantis S., Sgarbas K. (2015) Speaker Identification Using Semi-supervised Learning. In: Ronzhin A., Potapova R., Fakotakis N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science, vol 9319. Springer, Cham
Semi-supervised classification methods use available unlabeled data, along with a small set of labeled examples, to increase the classification accuracy in comparison with training a supervised method using only the labeled data. In this work, a new semi-supervised method for speaker identification is presented. We present a comparison with other well-known semi-supervised and supervised classification methods on benchmark datasets and verify that the presented technique exhibits better accuracy in most cases.