Speech watermarking: an approach for the forensic analysis of digital telephonic recordings

02/23/2022
by   Marcos Faundez-Zanuy, et al.
0

In this article, the authors discuss the problem of forensic authentication of digital audio recordings. Although forensic audio has been addressed in several articles, the existing approaches are focused on analog magnetic recordings, which are less prevalent because of the large amount of digital recorders available on the market (optical, solid state, hard disks, etc.). An approach based on digital signal processing that consists of spread spectrum techniques for speech watermarking is presented. This approach presents the advantage that the authentication is based on the signal itself rather than the recording format. Thus, it is valid for usual recording devices in police-controlled telephone intercepts. In addition, our proposal allows for the introduction of relevant information such as the recording date and time and all the relevant data (this is not always possible with classical systems). Our experimental results reveal that the speech watermarking procedure does not interfere in a significant way with the posterior forensic speaker identification.

READ FULL TEXT
research
07/18/2022

Style Transfer of Audio Effects with Differentiable Signal Processing

We present a framework that can impose the audio effects and production ...
research
10/23/2020

A Cross-Verification Approach for Protecting World Leaders from Fake and Tampered Audio

This paper tackles the problem of verifying the authenticity of speech r...
research
10/17/2021

Storage and Authentication of Audio Footage for IoAuT Devices Using Distributed Ledger Technology

Detection of fabricated or manipulated audio content to prevent, e.g., d...
research
03/22/2018

Speaker Clustering With Neural Networks And Audio Processing

Speaker clustering is the task of differentiating speakers in a recordin...
research
05/21/2023

Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio

To perform automatic family audio analysis, past studies have collected ...
research
10/07/2021

Power efficient analog features for audio recognition

The digital signal processing-based representations like the Mel-Frequen...
research
08/02/2021

Robust Acoustic Scene Classification in the Presence of Active Foreground Speech

We present an iVector based Acoustic Scene Classification (ASC) system s...

Please sign up or login with your details

Forgot password? Click here to reset