Acoustic Factor Analysis for Robust Speaker Verification
نویسندگان
چکیده
منابع مشابه
Acoustic factor analysis based universal background model for robust speaker verification in noise
The Universal Background Model (UBM) is known as a speaker independent Gaussian Mixture Model (GMM) trained on a large speech corpus containing many speakers’ recordings in various conditions. When noisy test data is involved, UBM trained on clean data is generally not optimal. Using noisy data for UBM training, however, creates a bias towards the specific development noise samples resulting in...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2013
ISSN: 1558-7916,1558-7924
DOI: 10.1109/tasl.2012.2226161