Abstract. The normalisation method for speaker verification proposed in this paper is based on the idea of the noise clustering method in fuzzy clustering. The proposed method can reduce false acceptance errors and apply to all current normalisation scores. Experiments performed on the ANDOSL and YOHO speech corpora show better results for the proposed method.
In a speaker veri¯cation system, a claimed speaker's score is computed to accept or reject the ...
Automatic speaker verification has many potential applications in security, surveillance and access ...
This research paper presents a robust method for speaker verification in noisy environments. The noi...
This paper proposes normalisation methods based on fuzzy set theory for speaker verication. A claime...
This paper proposes a fuzzy approach to speaker verication. For an input utterance and a claimed ide...
This paper presents an overview of a state-of-the-art text-independent speaker verification system u...
Similarity or likelihood normalization techniques are important for speaker verification systems as ...
In speaker verification, the cohort and world models have been separately used for scoring normaliza...
Conventional speaker recognition systems use the Universal Background Model (UBM) as an imposter for...
This paper presents the use of distance normalization techniques in order to improve the speaker ver...
Similarity normalization techniques are important for speaker verification systems as they help to b...
This paper presents an investigation into the relative effectiveness of various score normalisation ...
This is the author’s version of a work that was accepted for publication in Pattern Recognition Lett...
Abstract. This paper presents a new speaker recognition method using the improved initialization of ...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. ...
In a speaker veri¯cation system, a claimed speaker's score is computed to accept or reject the ...
Automatic speaker verification has many potential applications in security, surveillance and access ...
This research paper presents a robust method for speaker verification in noisy environments. The noi...
This paper proposes normalisation methods based on fuzzy set theory for speaker verication. A claime...
This paper proposes a fuzzy approach to speaker verication. For an input utterance and a claimed ide...
This paper presents an overview of a state-of-the-art text-independent speaker verification system u...
Similarity or likelihood normalization techniques are important for speaker verification systems as ...
In speaker verification, the cohort and world models have been separately used for scoring normaliza...
Conventional speaker recognition systems use the Universal Background Model (UBM) as an imposter for...
This paper presents the use of distance normalization techniques in order to improve the speaker ver...
Similarity normalization techniques are important for speaker verification systems as they help to b...
This paper presents an investigation into the relative effectiveness of various score normalisation ...
This is the author’s version of a work that was accepted for publication in Pattern Recognition Lett...
Abstract. This paper presents a new speaker recognition method using the improved initialization of ...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. ...
In a speaker veri¯cation system, a claimed speaker's score is computed to accept or reject the ...
Automatic speaker verification has many potential applications in security, surveillance and access ...
This research paper presents a robust method for speaker verification in noisy environments. The noi...
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