[go: up one dir, main page]

Guo et al., 2022 - Google Patents

Specpatch: Human-in-the-loop adversarial audio spectrogram patch attack on speech recognition

Guo et al., 2022

View PDF
Document ID
18269816339703812489
Author
Guo H
Wang Y
Ivanov N
Xiao L
Yan Q
Publication year
Publication venue
Proceedings of the 2022 ACM SIGSAC conference on computer and communications security

External Links

Snippet

In this paper, we propose SpecPatch, a human-in-the loop adversarial audio attack on automated speech recognition (ASR) systems. Existing audio adversarial attacker assumes that the users cannot notice the adversarial audios, and hence allows the successful …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065—Adaptation
    • G10L15/07—Adaptation to the speaker
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L17/00—Speaker identification or verification
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/28—Constructional details of speech recognition systems
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity

Similar Documents

Publication Publication Date Title
Guo et al. Specpatch: Human-in-the-loop adversarial audio spectrogram patch attack on speech recognition
Carlini et al. Audio adversarial examples: Targeted attacks on speech-to-text
Zheng et al. Black-box adversarial attacks on commercial speech platforms with minimal information
Schönherr et al. Imperio: Robust over-the-air adversarial examples for automatic speech recognition systems
Li et al. Advpulse: Universal, synchronization-free, and targeted audio adversarial attacks via subsecond perturbations
Chen et al. Metamorph: Injecting inaudible commands into over-the-air voice controlled systems
Neekhara et al. Universal adversarial perturbations for speech recognition systems
Carlini et al. Hidden voice commands
Zhang et al. Dangerous skills: Understanding and mitigating security risks of voice-controlled third-party functions on virtual personal assistant systems
US10546585B2 (en) Localizing and verifying utterances by audio fingerprinting
Shi et al. Audio-domain position-independent backdoor attack via unnoticeable triggers
US9263055B2 (en) Systems and methods for three-dimensional audio CAPTCHA
Janicki et al. An assessment of automatic speaker verification vulnerabilities to replay spoofing attacks
Ahmed et al. Towards more robust keyword spotting for voice assistants
Wang et al. Vsmask: Defending against voice synthesis attack via real-time predictive perturbation
Zhang et al. Generating robust audio adversarial examples with temporal dependency
Zong et al. Trojanmodel: A practical trojan attack against automatic speech recognition systems
WO2019173304A1 (en) Method and system for enhancing security in a voice-controlled system
Li et al. Inaudible adversarial perturbation: Manipulating the recognition of user speech in real time
Cheng et al. UniAP: Protecting speech privacy with non-targeted universal adversarial perturbations
Guo et al. Phantomsound: Black-box, query-efficient audio adversarial attack via split-second phoneme injection
Zong et al. Targeted universal adversarial perturbations for automatic speech recognition
Testa et al. Privacy against real-time speech emotion detection via acoustic adversarial evasion of machine learning
Wang et al. A practical survey on emerging threats from ai-driven voice attacks: How vulnerable are commercial voice control systems?
Cai et al. Vsvc: backdoor attack against keyword spotting based on voiceprint selection and voice conversion