The effect of noise on modern automatic speaker recognition systems
Miranti Indar Mandasari, Mitchell McLaren, David A. van Leeuwen · 2012
Motivated by the application of speaker recognition in forensic area, this paper presents a study on noise robustness of several automatic speaker recognition system approaches, ranging from simple dot-scoring and a standard i-vector system with cosine distance scoring to a state-of-the-art i-vector Probabilistic Linear Discriminant Analysis (PLDA) system. Using the recent NIST 2010 Speaker Recognition Evaluation (SRE) data, the systems are analyzed in added noise conditions with a range of signal to noise ratios. Various experiments were conducted to study the influence of the noise on the speech activity detection and Wiener filtering in the front-end of the system.