A study and implementation on speaker verification system using gender information
Journal
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018
Pages
31-45
Date Issued
2018
Author(s)
Abstract
For speaker verification task, one way to improve system's accuracy without changing the algorithm of acoustic model is to use gender-dependent model instead of gender-independent one. However, since test speakers' genders are not available, gender classifier plays an important role since its accuracy directly affects the performance of the speaker verification system overall. Furthermore, ensuring that the system can maintain good performance under different gender composition of test speakers is also an important issue. To explore the impact of different gender information's usage on speaker verification system, this paper implemented a speaker verification system using i-vector and PLDA model as speaker feature and scoring model respectively, and 2 i-vector-based gender classifier. After analyzing the weakness of speaker verification system using gender-dependent model in a general way, we proposed different methods for the application of gender information under the conditions when gender classifier has good and poor performance respectively. Moreover, we analyze the performance of each method under different gender composition of test speakers as well. Finally, we reached the goal of improving our system to achieve better performance than tradition practice under different circumstances. ? 2018 The Association for Computational Linguistics and Chinese Language Processing.
Subjects
Computational linguistics; Speech processing; Speech recognition; Acoustic model; I vectors; Poor performance; Scoring models; Speaker verification; Speaker verification system; Classification (of information)
Type
conference paper