Title :
The effect of noise on modern automatic speaker recognition systems
Author :
Mandasari, Miranti Indar ; McLaren, Mitchell ; Van Leeuwen, David A.
Author_Institution :
Centre for Language & Speech Technol., Radboud Univ. Nijmegen, Nijmegen, Netherlands
Abstract :
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.
Keywords :
Wiener filters; probability; speaker recognition; NIST 2010 SRE data; NIST 2010 speaker recognition evaluation data; PLDA system; Wiener filtering; modern automatic speaker recognition systems; noise effect; probabilistic linear discriminant analysis system; signal to noise ratios; speech activity detection; standard i-vector system; NIST; Noise measurement; Signal to noise ratio; Speaker recognition; Speech; Speech recognition; PLDA; forensics; i-vector; noise conditions; speaker recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288857
