Voice authentication by text dependent single utterance for in-car environment
Atsuki Tamoto, Katunobu Itou · 2019
Individual authentication using speech is called speaker verification. Speaker verification, which can be implemented in portable devices, is used in many scenarios. This study focuses on speaker verification while driving. Noise and long-term variability of feature are problems associated with speaker verification while driving. Considering the characteristics of noise in a moving car, spectral subtraction and cutting low frequency are implemented in noise reduction phase. We describe adaption of templates to noisy environment. We also evaluate long-term variability of feature by using speech that is recorded after approximately 10 months from the first enrollment.False reject rate(FRR) decreased to 66.6 % on average when implementing the noise reduction phase.In addition, FRR is improved by noise reduction phase through an update template using accepted speech.With respect to long-term variability, the FRR did not change after 10 months. This result indicates that GMM Posteriorgram is valid for inter-speaker variability. For future study, we need to consider template text to reduce the variation in GMM.