首页> 外国专利> METHOD FOR DETECTING AN AUDIO ADVERSARIAL ATTACK WITH RESPECT TO A VOICE INPUT PROCESSED BY AN AUTOMATIC SPEECH RECOGNITION SYSTEM, CORRESPONDING DEVICE, COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE CARRIER MEDIUM

METHOD FOR DETECTING AN AUDIO ADVERSARIAL ATTACK WITH RESPECT TO A VOICE INPUT PROCESSED BY AN AUTOMATIC SPEECH RECOGNITION SYSTEM, CORRESPONDING DEVICE, COMPUTER PROGRAM PRODUCT AND COMPUTER-READABLE CARRIER MEDIUM

机译:用于检测关于由自动语音识别系统、相应设备、计算机程序产品和计算机可读载体介质处理的语音输入的音频对抗攻击的方法

摘要

The disclosure relates to a method and device for detecting an audio adversarial attack with respect to a voice input (VI) processed by an automatic speech recognition system (ASR). The method includes: obtaining (12) a transcript (T) resulting from the processing, by the automatic speech recognition system, of an input audio signal of a voice input; converting (13) the transcript (T) into a synthesized audio signal (SAS); extracting (15, 15'), from the input audio signal and from the synthesized audio signal, acoustic features and converting them into sequences of feature vectors (sFV1, sFV2); computing (17) a dynamic time warping distance (D) between the sequences of converted features vectors; and delivering (18) a piece of data representative of a detection of an audio adversarial attack, as a function of a result of a comparison between the dynamic time warping distance and a predetermined threshold.
机译:本发明涉及一种用于检测关于自动语音识别系统(ASR)处理的语音输入(VI)的音频对抗攻击的方法和设备。该方法包括:获取(12)由自动语音识别系统对语音输入的输入音频信号进行处理而产生的转录本(T);将(13)转录本(T)转换为合成音频信号(SAS);从输入音频信号和合成音频信号中提取(15,15’)声学特征,并将其转换为特征向量序列(sFV1,sFV2);计算(17)转换后的特征向量序列之间的动态时间扭曲距离(D);以及作为动态时间扭曲距离和预定阈值之间的比较结果的函数,传送(18)代表音频对抗性攻击的检测的数据段。

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