Speaker Verification Using Adapted User-Dependent Multilevel Fusion
نویسندگان
چکیده
In this paper we study the application of user-dependent score fusion to multilevel speaker recognition. After reviewing related works in multimodal biometric authentication, a new score fusion technique is described. The method is based on a form of Bayesian adaptation to derive the personalized fusion functions from prior user-independent data. Experimental results are reported using the MIT Lincoln Laboratory’s multilevel speaker verification system. It is experimentally shown that the proposed adapted fusion method outperforms both userindependent and non-adapted user-dependent fusion approaches.
منابع مشابه
Using quality measures for multilevel speaker recognition
The use of quality information for multilevel speaker recognition systems is addressed in this contribution. From a definition of what constitutes a quality measure, two applications are proposed at different phases of the recognition process: scoring and multi-level fusion stages. The traditional likelihood scoring stage is further developed providing guidelines for the practical application o...
متن کاملPrivacy Preserving Speaker Verification Using Adapted GMMs
In this paper we present an adapted UBM-GMM based privacy preserving speaker verification (PPSV) system, where the system is not able to observe the speech data provided by the user and the user does not observe the models trained by the system. These privacy criteria are important in order to prevent an adversary having unauthorized access to the user’s client device from impersonating a user ...
متن کاملSupport vector machines based text dependent speaker verification using HMM supervectors
Conventional subword based hidden Markov models (HMMs) have proven to be an effective approach for text-dependent speaker verification. The standard training method works by modeling the MAP adapted means of subword HMMs. In this paper, we propose the use of HMM supervectors from the speaker models as features in support vector machines (SVMs) classifier. An HMM supervector is constructed by st...
متن کاملBayesian adaptation for user-dependent multimodal biometric authentication
A novel score-level fusion strategy based on Bayesian adaptation for user-dependent multimodal biometric authentication is presented. In the proposed method, the fusion function is adapted for each user based on prior information extracted from a pool of users. Experimental results are reported using on-line signature and fingerprint verification subsystems on the MCYT real bimodal database. Th...
متن کاملImproving Robustness of Speaker Verification by Fusion of Prompted Text-Dependent and Text-Independent Operation Modalities
In this paper we present a fusion methodology for combining prompted text-dependent and text-independent speaker verification operation modalities. The fusion is performed in score level extracted from GMM-UBM single mode speaker verification engines using several machine learning algorithms for classification. In order to improve the performance we apply clustering of the score-based data befo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005