Light convolutional neural network with feature genuinization for detection of synthetic speech attacks
Modern text-to-speech (TTS) and voice conversion (VC) systems produce natural sounding
speech that questions the security of automatic speaker verification (ASV). This makes …
speech that questions the security of automatic speaker verification (ASV). This makes …
[PDF][PDF] Spoofing speech detection using high dimensional magnitude and phase features: the NTU approach for ASVspoof 2015 challenge.
Recent improvement in text-to-speech (TTS) and voice conversion (VC) techniques presents
a threat to automatic speaker verification (ASV) systems. An attacker can use the TTS or VC …
a threat to automatic speaker verification (ASV) systems. An attacker can use the TTS or VC …
RW-Resnet: A novel speech anti-spoofing model using raw waveform
Y Ma, Z Ren, S Xu - arXiv preprint arXiv:2108.05684, 2021 - arxiv.org
In recent years, synthetic speech generated by advanced text-to-speech (TTS) and voice
conversion (VC) systems has caused great harms to automatic speaker verification (ASV) …
conversion (VC) systems has caused great harms to automatic speaker verification (ASV) …
[PDF][PDF] A light convolutional GRU-RNN deep feature extractor for ASV spoofing detection
The aim of this work is to develop a single anti-spoofing system which can be applied to
effectively detect all the types of spoofing attacks considered in the ASVspoof 2019 …
effectively detect all the types of spoofing attacks considered in the ASVspoof 2019 …
[PDF][PDF] Deep residual neural networks for audio spoofing detection
The state-of-art models for speech synthesis and voice conversion are capable of
generating synthetic speech that is perceptually indistinguishable from bonafide human …
generating synthetic speech that is perceptually indistinguishable from bonafide human …
[PDF][PDF] Siamese Convolutional Neural Network Using Gaussian Probability Feature for Spoofing Speech Detection.
Z Lei, Y Yang, C Liu, J Ye - Interspeech, 2020 - interspeech2020.org
The security and reliability of automatic speaker verification systems can be threatened by
different types of spoofing attacks using speech synthetic, voice conversion, or replay. The 2 …
different types of spoofing attacks using speech synthetic, voice conversion, or replay. The 2 …
Anti-spoofing using transfer learning with variational information bottleneck
Recent advances in sophisticated synthetic speech generated from text-to-speech (TTS) or
voice conversion (VC) systems cause threats to the existing automatic speaker verification …
voice conversion (VC) systems cause threats to the existing automatic speaker verification …
A comparative study on recent neural spoofing countermeasures for synthetic speech detection
X Wang, J Yamagishi - arXiv preprint arXiv:2103.11326, 2021 - arxiv.org
A great deal of recent research effort on speech spoofing countermeasures has been
invested into back-end neural networks and training criteria. We contribute to this effort with …
invested into back-end neural networks and training criteria. We contribute to this effort with …
Classifiers for synthetic speech detection: A comparison
Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks,
also known as imposture. With recent developments in speech synthesis and voice …
also known as imposture. With recent developments in speech synthesis and voice …
A gated recurrent convolutional neural network for robust spoofing detection
A Gomez-Alanis, AM Peinado… - … on Audio, Speech …, 2019 - ieeexplore.ieee.org
Automatic speaker verification (ASV) systems are exposed to spoofing attacks which may
compromise their security. While anti-spoofing techniques have been mainly studied for …
compromise their security. While anti-spoofing techniques have been mainly studied for …