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Performance degradation has been observed in presence of time intervals in practical speaker recognition systems. Researchers usually resort to enrollment data augmentation, speaker model adaptation...
For GMM-UBM based text-independent speaker recognition, the performance decreases significantly when the test speech is too short. Considering that the use of text information is he...
In Short Utterance Speaker Recognition (SUSR), the role of complete speech units like syllables in carrying speaker information needs further investigation. This paper presents ...
This paper provides an overview of automatic speaker recognition technologies, with an emphasis on front-end features for robust speaker recognition. We categorize the front-end features into ...
Performance degradation with time varying is a generally acknowledged phenomenon in speaker recognition and it is widely assumed that speaker models should be updated from time to time to mainta...
In this paper, a fast algorithm for text-dependent speaker recognition is proposed for real-time applications on embedded platforms. Considering the similarity and effectiveness, w...
For the special session on speaker recognition of the 5th International Symposium on Chinese Spoken Language Processing (ISCSLP 2006), the Chinese Corpus Consortium (CCC), the session organizer, deve...
The Gaussian mixture model-universal background model (GMM-UBM) has been dominant in text-independent speaker recognition tasks. However the conventional GMM-UBM method assumes that each Gaussian mixt...
The performance of any speaker identification system degrades quite seriously when the acoustic conditions for testing mismatch those for training. In this paper, we propose a method to restore clean ...
In state-of-the-art speaker recognition systems, mel-sc aled freque nc y cepstr al coeff i ci ents (MFCCs) are perhaps the m ost w i dely used front-ends. One of the ma jor is sues with the M ...

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