Vantiva has filed a patent for a method and device to detect audio adversarial attacks on voice inputs processed by automatic speech recognition systems. The technology involves analyzing acoustic features and dynamic time warping distance to identify potential attacks. GlobalData’s report on Vantiva gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Vantiva, Digital watermarking was a key innovation area identified from patents. Vantiva's grant share as of January 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Method for detecting audio adversarial attacks in voice input

Source: United States Patent and Trademark Office (USPTO). Credit: Vantiva SA

A recently filed patent (Publication Number: US20230401338A1) describes a method for detecting audio adversarial attacks on voice inputs processed by automatic speech recognition systems. The method involves obtaining an input audio signal associated with the voice input, converting the transcript into a synthesized audio signal, extracting acoustic features, converting them to corresponding features associated with a target reference voice, computing a dynamic time warping distance, and delivering a detection of an attack based on a comparison with a predetermined threshold. The method also includes normalizing signals, identifying gender, and comparing dynamic time warping distances for different target voices to enhance detection accuracy.

Furthermore, the patent also details a detection device connected to the automatic speech recognition system, which implements the method described above. The device comprises a processor configured to carry out the steps of obtaining input audio signals, transcripts, and synthesized audio signals, extracting and converting acoustic features, computing dynamic time warping distances, and delivering detection results. The device also includes features such as normalizing signals, identifying gender, and transmitting detection data to a communication device for further action execution. Overall, the patent aims to improve the detection of audio adversarial attacks on voice inputs processed by automatic speech recognition systems through a comprehensive and systematic method implemented by a specialized detection device.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.