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- W2554746092 abstract "Automatic speaker verification (ASV) performance is known to degrade in mismatched test-train conditions. In this paper, we explore the effects of speech rate variation on both GMM-UBM and the state-of-the-art i-vector based ASV systems. In our experiments, we used normal speech for training and fast speech for testing to represent train-test mismatch. The results showed that, despite both methods being significantly affected by mismatch conditions, the performance degradation caused by speech rate variation can be mitigated by the addition of fast speech into the training set. Moreover, we verified that GMM-UBM outperforms the i-vector based system under mismatch conditions, although the same was not true under matched situations." @default.
- W2554746092 created "2016-11-30" @default.
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- W2554746092 date "2014-01-01" @default.
- W2554746092 modified "2023-09-26" @default.
- W2554746092 title "The Effect of Speech Rate on Automatic Speaker Verification: a Comparative Analysis of GMM-UBM and I-vector Based Methods" @default.
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