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https://doi.org/10.17559/TV-20140120095957

Speaker model adaptation based on confidence score

Erhan Mengusoglu orcid id orcid.org/0000-0001-9384-3151 ; TED University, Computer Engineering Department, Ziya Gokalp Caddesi No 48, Kolej, Cankaya, Ankara, Turkey


Puni tekst: hrvatski pdf 663 Kb

str. 873-878

preuzimanja: 266

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Puni tekst: engleski pdf 663 Kb

str. 873-878

preuzimanja: 495

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Sažetak

Confidence measures are expected to give a measure of reliability on the result of a speech/speaker recognition system. Most commonly used confidence measures are based on posterior word or phoneme probabilities which can be obtained from the output of the recognizer. In this paper we introduced a linear interpretation of posterior probability based confidence measure by using inverse Fisher transformation. Speaker adaptation consists in updating model parameters of a speaker independent model to have a better representation of the current speaker. Confidence measures give more reliable selection criteria to select the utterances which best represent the speaker. A linear interpretation of confidence measure is very important to select the most representative data for adaptation.

Ključne riječi

confidence measure, Fisher transformation, speaker adaptation, speaker verification

Hrčak ID:

143106

URI

https://hrcak.srce.hr/143106

Podaci na drugim jezicima: hrvatski

Posjeta: 1.211 *