Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures
With the advent of automated speaker verification (ASV) systems comes an equal and
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
Audio deepfake detection: A survey
Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …
aimed to study deepfake detection algorithms and achieved effective performance, the …
Speaker recognition from raw waveform with sincnet
M Ravanelli, Y Bengio - 2018 IEEE spoken language …, 2018 - ieeexplore.ieee.org
Deep learning is progressively gaining popularity as a viable alternative to i-vectors for
speaker recognition. Promising results have been recently obtained with Convolutional …
speaker recognition. Promising results have been recently obtained with Convolutional …
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 …
Rawnet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
Recently, direct modeling of raw waveforms using deep neural networks has been widely
studied for a number of tasks in audio domains. In speaker verification, however, utilization …
studied for a number of tasks in audio domains. In speaker verification, however, utilization …
Recent progresses in deep learning based acoustic models
In this paper, we summarize recent progresses made in deep learning based acoustic
models and the motivation and insights behind the surveyed techniques. We first discuss …
models and the motivation and insights behind the surveyed techniques. We first discuss …
Interpretable convolutional filters with sincnet
M Ravanelli, Y Bengio - arXiv preprint arXiv:1811.09725, 2018 - arxiv.org
Deep learning is currently playing a crucial role toward higher levels of artificial intelligence.
This paradigm allows neural networks to learn complex and abstract representations, that …
This paradigm allows neural networks to learn complex and abstract representations, that …
Towards directly modeling raw speech signal for speaker verification using CNNs
H Muckenhirn, MM Doss… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Speaker verification systems traditionally extract and model cepstral features or filter bank
energies from the speech signal. In this paper, inspired by the success of neural network …
energies from the speech signal. In this paper, inspired by the success of neural network …
Advances in anti-spoofing: from the perspective of ASVspoof challenges
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 …
This leads to an increased interest to secure these voice biometric systems for real-world …
Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing
This paper introduces RawBoost, a data boosting and augmentation method for the design
of more reliable spoofing detection solutions which operate directly upon raw waveform …
of more reliable spoofing detection solutions which operate directly upon raw waveform …