Abstract
Speaker recognition has been a popular research topic in pattern recognition field. Speaker verification is an important procedure in speaker recognition. It is a process to accept or reject the identity claim of a speaker. How to make a decision is a critical problem in speaker verification system. This paper introduces a group-based mechanism which performs speaker verification system with Joint Factor Analysis (JFA). In this method, we first finds a similar speaker group for each test utterance, and then implements speaker verification. This paper also proposes a new efficient threshold setting method on the use of silhouettes. We carry out our comparison experiment on the TIMIT corpus and the experimental results show that compared with the traditional method, the overall recognition performance of the open-set speaker recognition system based on the new decision mechanism is improved.
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