Diarization problem is well known problem in the world of speech recognition and speech processing.
Our project goal is Speaker diarization in recorded conversation. We try a new approach for solving this problem, using dimension reduction algorithm (LLE).
The results are compared to a famous method for solving this problem, using Bottom-Up algorithm.
We tested our method on merged TIMIT files, and recordings we recorded by ourselves.
Speaker Diarization Using Locally Linear Embbeding Dimension Reduction, International Conference on the Science of Electrical Engineering (ICSEE 2016) , Eilat Israel.,