A new adaptation approach to high-level speaker-model creation in speaker verification
نویسندگان
چکیده
منابع مشابه
A new adaptation approach to high-level speaker-model creation in speaker verification
Research has shown that speaker verification based on high-level speaker features requires long enrollment utterances to guarantee low error rate during verification. However, in practical speaker verification, it is common to model speakers based on a limited amount of enrollment data, which will make the speaker models unreliable. This paper proposes four new adaptation methods for creating h...
متن کاملA New Adaptation Method for Speaker-Model Creation in High-Level Speaker Verification
Abstract. Research has shown that speaker verification based on highlevel speaker features requires long enrollment utterances to be reliable. However, in practical speaker verification, it is common to model speakers based a limited amount of enrollment data. To minimize the undesirable effect of insufficient enrollment data on system performance, this paper proposes a new adaptation method fo...
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Model adaptation methods for a text-dependent speaker verification system are evaluated in this paper. The speaker verification system uses a discriminant model and a statistical model to represent each enrolled speaker. These modeling approaches consist of a neural tree network and Ganssian mixture model. Adaptation methods are evaluated for both modeling approaches. We show that the overall s...
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GMM-UBM-based speaker verification heavily relies on well-trained UBMs. In practice, it is not often easy to obtain a UBM that fully matches the acoustic channel in operation. In a previous study, we proposed to address this problem by a novel sequential UBM adaptation approach based on MAP. This work extends the study by applying the sequential approach to speaker model adaptation. In addition...
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This paper describes a speaker verification system in which the talker and imposter models are adapted to achieve maximum discrimination, or equivalently minimum verification error. This goal is accomplishedby extending the minimum error classificationcriterion (MCE) and generalized probabilistic descent (GPD) algorithm to the task of adapting talker model parameters and the corresponding anti-...
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ژورنال
عنوان ژورنال: Speech Communication
سال: 2009
ISSN: 0167-6393
DOI: 10.1016/j.specom.2009.02.005