Acoustic vector resampling for GMMSVM-based speaker verification

Using GMM-supervectors as the input to SVM classifiers (namely, GMM-SVM) is one of the promising approaches to text-independent speaker verification. However, one unaddressed issue of this approach is the severe imbalance between the numbers of speaker-class utterances and impostor-class utterances available for training a speaker-dependent SVM. This paper proposes a resampling technique

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: Man-Wai Mak, Wei Rao
• Keywords: Acoustic Vectors, INTERSPEECH 2010, Signal Processing, Text-independent Speaker Verification, Utterance