Abstract
In this work, a study about the relationship between speech Quality Measures(QM) and speaker recognition performance is presented. To accomplish this, four objective non-intrusive QM were selected (KLPC, KCEP, HD, P563), based on the relationship between their features and the speaker recognition process. Experiments were performed in a male speech corpus in several additive noise conditions. Statistical analysis about the data distributions related to quality, signal to noise ratio and speaker recognition scores were carried out. Interesting conclusions were obtained regarding the relationship between QM and speaker recognition scores for 20 noisy environments evaluated.
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Bello, C., Ribas, D., Calvo, J. R., & Ferrer, C. A. (2014). From speech quality measures to speaker recognition performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 199–206). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_25
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