A study on improving decisions in closed set speaker identification

Demirekler, Mübeccel
Saranlı, Afşar
In this study, closed-set, text-independent speaker identification is considered and the problem of improving the reliability of the decisions made by available algorithms is addressed. The work presented here is based on the idea of combining the evidences from different algorithms or decision strategies to improve the recognition performance and the reliability. For this purpose, the models generated by a single algorithm for 17 speakers from the SPIDRE; database are considered and a matrix of speaker-to-model fitness values is processed by two different decision strategies. Ideas from the Mathematical Theory of Evidence are applied to combine the decisions produced by these two strategies to generate a better decision on the speaker identity. The combined decision show an improved degree of corectness hence suggesting a promising way of combining the decisions from partially successful algorithms.
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97)


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Citation Formats
M. Demirekler and A. Saranlı, “A study on improving decisions in closed set speaker identification,” presented at the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97), Munich, GERMANY, 1997, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55178.