Hannah Muckenhirn
Hannah Muckenhirn
IDIAP Research Institute, Ecole Polytechnique Fédérale de Lausanne
Dirección de correo verificada de idiap.ch
Citado por
Citado por
Voicefilter: Targeted voice separation by speaker-conditioned spectrogram masking
Q Wang, H Muckenhirn, K Wilson, P Sridhar, Z Wu, J Hershey, ...
arXiv preprint arXiv:1810.04826, 2018
Overview of BTAS 2016 speaker anti-spoofing competition
P Korshunov, S Marcel, H Muckenhirn, AR Gonçalves, AGS Mello, ...
2016 IEEE 8th international conference on biometrics theory, applications …, 2016
Towards directly modeling raw speech signal for speaker verification using CNNs
H Muckenhirn, M Magimai-Doss, S Marcel
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Long-term spectral statistics for voice presentation attack detection
H Muckenhirn, P Korshunov, M Magimai-Doss, S Marcel
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11 …, 2017
End-to-end convolutional neural network-based voice presentation attack detection
H Muckenhirn, M Magimai-Doss, S Marcel
2017 IEEE international joint conference on biometrics (IJCB), 335-341, 2017
Presentation attack detection using long-term spectral statistics for trustworthy speaker verification
H Muckenhirn, M Magimai-Doss, S Marcel
2016 International Conference of the Biometrics Special Interest Group …, 2016
On Learning to Identify Genders from Raw Speech Signal Using CNNs
SH Kabil, H Muckenhirn, M Magimai-Doss
On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs
H Muckenhirn, M Magimai-Doss, S Marcel
Proc. of Interspeech, 2018
Gradient-based spectral visualization of CNNs using raw waveforms
H Muckenhirn, V Abrol, M Magimai-Doss, S Marcel
Trustworthy speaker recognition with minimal prior knowledge using neural networks
H Muckenhirn
EPFL, 2019
Understanding and Visualizing Raw Waveform-based CNNs
H Muckenhirn, V Abrol, MM Doss, S Marcel
Proceedings of Interspeech, 2019
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Artículos 1–11