Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification

Muckenhirn, Hannah; Magimai-Doss, Mathew; Marcel, Sébastien

doi:10.1109/biosig.2016.7736933

Cited by 18 publications

(14 citation statements)

References 34 publications

(27 reference statements)

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“…However, the ASVspoof database gave special attention to LA attacks. For such attacks, it is assumed that the spoofed samples are directly injected into the system through a software-based process [21]. Hence, PA attacks are more realistic than the logical access attacks, where the attacker plays back a recorded utterance to the system.…”

Section: I L I M I T a T I O N S A N D T E C H N O L O G I C A L mentioning

confidence: 99%

Advances in anti-spoofing: from the perspective of ASVspoof challenges

Kamble

Sailor

Patil

et al. 2020

SIP

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In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics. This leads to an increased interest to secure these voice biometric systems for real-world applications. The ASV systems are vulnerable to various kinds of spoofing attacks, namely, synthetic speech (SS), voice conversion (VC), replay, twins, and impersonation. This paper provides the literature review of ASV spoof detection, novel acoustic feature representations, deep learning, end-to-end systems, etc. Furthermore, the paper also summaries previous studies of spoofing attacks with emphasis on SS, VC, and replay along with recent efforts to develop countermeasures for spoof speech detection (SSD) task. The limitations and challenges of SSD task are also presented. While several countermeasures were reported in the literature, they are mostly validated on a particular database, furthermore, their performance is far from perfect. The security of voice biometrics systems against spoofing attacks remains a challenging topic. This paper is based on a tutorial presented at APSIPA Annual Summit and Conference 2017 to serve as a quick start for those interested in the topic.

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Section: I L I M I T a T I O N S A N D T E C H N O L O G I C A L mentioning

confidence: 99%

Advances in anti-spoofing: from the perspective of ASVspoof challenges

Kamble

Sailor

Patil

et al. 2020

SIP

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“…The use of various cepstral-based features using AVspoof 2015 database has been carried out in [24,25]. Likewise in [26], the use of long-term spectral statistics is done for spoof detection. In this work, we propose a replay detector based on Variable length Teager Energy Operator-Energy Separation Algorithm-Instantaneous Frequency Cosine Coefficients (VESA-IFCC).…”

Section: Introductionmentioning

confidence: 99%

Novel Variable Length Teager Energy Separation Based Instantaneous Frequency Features for Replay Detection

Patil¹,

Kamble²,

Patel³

et al. 2017

Interspeech 2017

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Replay attacks presents a great risk for Automatic Speaker Verification (ASV) system. In this paper, we propose a novel replay detector based on Variable length Teager Energy Operator-Energy Separation Algorithm-Instantaneous Frequency Cosine Coefficients (VESA-IFCC) for the ASV spoof 2017 challenge.The key idea here is to exploit the contribution of IF in each subband energy via ESA to capture possible changes in spectral envelope (due to transmission and channel characteristics of replay device) of replayed speech. The IF is computed from narrowband components of speech signal, and DCT is applied in IF to get proposed feature set. We compare the performance of the proposed VESA-IFCC feature set with the features developed for detecting synthetic and voice converted speech. This includes the CQCC, CFCCIF and prosody-based features. On the development set, the proposed VESA-IFCC features when fused at score-level with a variant of CFCCIF and prosodybased features gave the least EER of 0.12 %. On the evaluation set, this combination gave an EER of 18.33 %. However, post-evaluation results of challenge indicate that VESA-IFCC features alone gave the relatively least EER of 14.06 % (i.e., relatively 16.11 % less compared to baseline CQCC) and hence, is a very useful countermeasure to detect replay attacks.Variable length Teager Energy Operator (VTEO) is the modified version of the traditional TEO method [27]. TEO involves nonlinear operations on the signal, i.e, square of current sample and multiplication of previous and next sample, i.e., x(n − 1)

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“…Several audio descriptors originally proposed for speaker verification and speech recognition have also been studied in the context of PAD systems [SKH15] (and references there in). Features specifically designed for anti-spoofing systems were the focus of recent research [CRS07,TDE16,MMDM16].…”

Section: Introductionmentioning

confidence: 99%

On the Generalization of Fused Systems in Voice Presentation Attack Detection

Gonçalves

Violato

Korshunov

et al. 2017

2017 International Conference of the Biometrics Special Interest Group (BIOSIG)

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This paper describes presentation attack detection systems developed for the Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017). The submitted systems, using calibration and score fusion techniques, combine different sub-systems (up to 18), which are based on eight state of the art features and rely on Gaussian mixture models and feedforward neural network classifiers. The systems achieved the top five performances in the competition. We present the proposed systems and analyze the calibration and fusion strategies employed. To assess the systems' generalization capacity, we evaluated it on an unrelated larger database recorded in Portuguese language, which is different from the English language used in the competition. These extended evaluation results show that the fusion-based system, although successful in the scope of the evaluation, lacks the ability to accurately discriminate genuine data from attacks in unknown conditions, which raises the question on how to assess the generalization ability of attack detection systems in practical application scenarios.

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Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification

Cited by 18 publications

References 34 publications

Advances in anti-spoofing: from the perspective of ASVspoof challenges

Advances in anti-spoofing: from the perspective of ASVspoof challenges

Novel Variable Length Teager Energy Separation Based Instantaneous Frequency Features for Replay Detection

On the Generalization of Fused Systems in Voice Presentation Attack Detection

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