Gui, S.; Zhou, C.; Wang, H.; Gao, T. Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security. Electronics2023, 12, 3309.
Gui, S.; Zhou, C.; Wang, H.; Gao, T. Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security. Electronics 2023, 12, 3309.
Gui, S.; Zhou, C.; Wang, H.; Gao, T. Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security. Electronics2023, 12, 3309.
Gui, S.; Zhou, C.; Wang, H.; Gao, T. Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security. Electronics 2023, 12, 3309.
Abstract
With the rapid development of big data, artificial intelligence, and Internet technologies, the human-human contact and human-machine interaction have produced an explosive growth of voice data. Rapidly identifying the speaker's identity and retrieving and managing his or her speech data in the massive amount of speech data has become a major challenge for intelligent speech applications in the field of information security. This research proposes a vocal recognition technique based on information adversarial training for speaker identity recognition in massive audio and video, and speaker identification when oriented to the information security domain. The experimental results show that the method projects data from different scene channels all onto the same space and dynamically generates interactive speaker representations. It solves the channel mismatch problem and effectively improves the recognition of speaker's voice patterns across channels and scenes. It is able to separate overlapping voices when multiple people speak at the same time and reduce speaker separation errors. It realizes speaker voice recognition for information security field and achieves 89% recall rate in massive database, which has practical application value for intelligent application field.
Keywords
voice recognition; channel adversarial training; information security domain; speaker confirmation
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
