The Use of Audio Fingerprints for Authentication of Speakers on Speech Operated Interfaces

In a multi-speaker and multi-device environment, we need acoustic fingerprint information for authentication between devices. Thus, in these kinds of environments, it is crucial to continuously check the authenticity of speakers and devices within a short duration since different speakers could join or leave the environment. In this work, we propose the provision of different levels of authentication to different speakers in a multi-speaker multi-device environment using acoustic audio fingerprint information. Firstly, the audio fingerprints are extracted continuously every few seconds. Then, the extracted fingerprints are passed to a speaker recognition module which checks if the fin-gerprint is enrolled for that particular environment or not. Finally, the proper level of authentication is provided for each speaker. Our experimental results on Voxceleb-1 dataset show that acoustic fingerprints can be successfully used for authentication purposes in a multi-speaker multi-device environment.