Automatic Speech Verification Spoofing Detection

12/15/2020

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Automatic speech verification (ASV) is the technology to determine the identity of a person based on their voice. While being convenient for identity verification, we should aim for the highest system security standard given that it is the safeguard of valuable digital assets. Bearing this in mind, we follow the setup in ASVSpoof 2019 competition to develop potential countermeasures that are robust and efficient. Two metrics, EER and t-DCF, will be used for system evaluation.

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Automatic Speech Verification Spoofing Detection

Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment

Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions

Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing

Automatic Speech Verification Spoofing Detection

Related Research

Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment

Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions

Detection of speech events and speaker characteristics through photo-plethysmographic signal neural processing