Definition
Speaker matching aims to compare the acquired data corresponding to an individual against the template feature set stored in the database. Depending on the operating mode, the comparison could be done using only the template related to a given person (detection or verification tasks) or with all the templates of the database (identification task).
The speaker matching could be split into three main functionalities:
Create a template from the feature set extracted from the enrollment data. Usually, the template is denoted “speaker model.”
Compare a feature set acquired from a sound captor with a speaker model and output a likelihood score.
Take an identification decision using this score. Usually other information are used during this decision phase, like a model of potential impostors. In a speaker recognition system, the scores are very often normalized before to take the decision, using a Score Normalization...
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Bonastre, JF., Matrouf, D. (2009). Speaker Matching. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_122
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DOI: https://doi.org/10.1007/978-0-387-73003-5_122
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