Evaluating the Performance of Speaker Recognition Solutions in E-Commerce Applications

Author:

Krčadinac Olja,Šošević Uroš,Starčević Dušan

Abstract

Two important tasks in many e-commerce applications are identity verification of the user accessing the system and determining the level of rights that the user has for accessing and manipulating system’s resources. The performance of these tasks is directly dependent on the certainty of establishing the identity of the user. The main research focus of this paper is user identity verification approach based on voice recognition techniques. The paper presents research results connected to the usage of open-source speaker recognition technologies in e-commerce applications with an emphasis on evaluating the performance of the algorithms they use. Four open-source speaker recognition solutions (SPEAR, MARF, ALIZE, and HTK) have been evaluated in cases of mismatched conditions during training and recognition phases. In practice, mismatched conditions are influenced by various lengths of spoken sentences, different types of recording devices, and the usage of different languages in training and recognition phases. All tests conducted in this research were performed in laboratory conditions using the specially designed framework for multimodal biometrics. The obtained results show consistency with the findings of recent research which proves that i-vectors and solutions based on probabilistic linear discriminant analysis (PLDA) continue to be the dominant speaker recognition approaches for text-independent tasks.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evaluation of Command and Speaker Recognition on Vietnamese Voice Dataset to Enhance Security;2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR);2024-08-15

2. Workshop on Advances of Mobile and Wearable Biometrics (WAMWB);Proceedings of the 25th International Conference on Mobile Human-Computer Interaction;2023-09-26

3. Noise profiling for speech enhancement employing machine learning models;The Journal of the Acoustical Society of America;2022-12

4. A Template-Based Approach to Intelligent Multilingual Corpora Transcription;International Journal of Humanities and Arts Computing;2022-10

5. Development of novel automated language classification model using pyramid pattern technique with speech signals;Neural Computing and Applications;2022-07-25

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