Anti-spoofing, Voice

نویسنده

  • Michael Wagner
چکیده

The process of verifying whether the voice sample presented to an authentication system is real (i.e., alive), or whether it is replayed or synthetic, and thus fraudulent. When authentication through a voice authentication system is requested, it is important to be sure that the person seeking the authentication actually provides the required voice sample at the time and place of the authentication request. The voice is presented live like that of a radio presenter during a live broadcast as distinct from a recorded audio tape. In contrast, an impostor who seeks authentication fraudulently could try to play an audio recording of a legitimate client or synthesized speech that is manufactured to resemble the speech of a legitimate client. Such threats to the system are known as replay attack and synthesis attack, respectively. Liveness assurance uses a range of measures to reduce the vulnerability of a voice authentication system to the threats of replay and synthesis attack.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Anti-spoofing, Voice Databases

As with any task involving statistical pattern recognition, the assessment of spoofing and anti-spoofing approaches for voice recognition calls for significantscale databases of spoofed speech signals. Depending on the application, these signals should normally reflect spoofing attacks performed prior to acquisition at the sensor or microphone. Since the collection of large quantities of any bi...

متن کامل

Voice conversion versus speaker verification: an overview

A speaker verification system automatically accepts or rejects a claimed identity of a speaker based on a speech sample. Recently, a major progress was made in speaker verification which leads to mass market adoption, such as in smartphone and in online commerce for user authentication. A major concern when deploying speaker verification technology is whether a system is robust against spoofing...

متن کامل

Anti-spooofing: Speaker verification vs. voice conversion

Voice conversion (VC) techniques, which modify a speaker’s voice to sound like another’s, present a threat to automatic speaker verification (SV) systems. In this paper, we evaluate the vulnerability of a state-of-the-art SV system against a converted speech spoofing attack. To overcome the spoofing attack, we implement state-of-the-art converted speech detectors based on shortand long-term fea...

متن کامل

Joint Speaker Verification and Antispoofing in the i-Vector Space

Any biometric recognizer is vulnerable to spoofing attacks and hence voice biometric, also called automatic speaker verification (ASV), is no exception; replay, synthesis and conversion attacks all provoke false acceptances unless countermeasures are used. We focus on voice conversion (VC) attacks considered as one of the most challenging for modern recognition systems. To detect spoofing, most...

متن کامل

Liveness detection using cross-moda person authent

In this paper we show the potential of two new features as powerful anti-spoofing measures for face-voice person authentication systems. The features based on latent semantic analysis (LSA) and canonical correlation analysis (CCA), enhance the performance of the authentication system in terms of better anti-imposture abilities and guard against video replay attacks, which is a challenging type ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015