Probabilistic feature-based transformation for speaker verification over telephone networks
نویسندگان
چکیده
منابع مشابه
Probabilistic feature-based transformation for speaker verification over telephone networks
Feature transformation aims to reduce the effects of channeland handset-distortion in telephone-based speaker verification. This paper compares several feature transformation techniques and evaluates their verification performance and computation time under the 2000 NIST speaker recognition evaluation protocol. Techniques compared include feature mapping (FM), stochastic feature transformation ...
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This paper presents a cluster-based feature transformation technique for telephone-based speaker verification when labels of the handset types are not available during the training phase. The technique combines a cluster selector with cluster-dependent feature transformations to reduce the acoustic mismatches among different handsets. Specifically, a GMM-based cluster selector is trained to ide...
متن کاملSpeaker verification over the telephone
The aim of the research reported in this paper was to assess the capability of state-of-the-art methods for speaker verification in order to determine if high enough performance levels could be obtained to support the development of telecom applications. This experimental study quantified speaker recognition performance out of the context of any specific application, as a function of factors mo...
متن کاملExperiments with speaker verification over the telephone
In this paper we present a study on speaker verification showing achievable performance levels for both high quality speech and telephone speech and for two operational modes, i.e. textdependent and text-independent speaker verification. A statistical modeling approach is taken, where for text independent verification the talker is viewed as a source of phones, modeled by a fully connected Mark...
متن کاملUnsupervised online adaptation for speaker verification over the telephone
This paper presents experiments of unsupervised adaptation for a speaker detection system. The system used is a standard speaker verification system based on cepstral features and Gaussian mixture models. Experiments were performed on cellular speech data taken from the NIST 2002 speaker detection evaluation. There was a total of about 30.000 trials involving 330 target speakers and more than 9...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2007
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2007.08.003