Keywords:
- Anti-spoofing
- automatic gender recognition
- CNN visualization
- Convolutional neural network
- Convolutional Neural Networks
- cross-database
- deep learning
- End-to-end learning
- end-to-end training
- Formants
- Fundamental frequency
- gradient-based visualization
- long-term statistics
- multilayer perceptron
- presentation attack
- Presentation Attack Detection
- raw waveforms
- recognition
- speaker recognition
- speaker verification
- spectral statistics
- Spoofing
Publications of Hannah Muckenhirn sorted by title
E
| End-to-End Convolutional Neural Network-based Voice Presentation Attack Detection, , and , in: International Joint Conference on Biometrics, Denver, Colorado, USA, 2017 |
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| Gradient-based spectral visualization of CNNs using raw waveforms, , , and , Idiap-RR-11-2018 |
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| Long Term Spectral Statistics for Voice Presentation Attack Detection, , , and , Idiap-RR-11-2017 |
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| Long-Term Spectral Statistics for Voice Presentation Attack Detection, , , and , in: IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(11):2098-2111, 2017 |
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O
| On Learning to Identify Genders from Raw Speech Signal Using CNNs, , and , in: Proceedings of Interspeech, Hyderabad, INDIA, pages 287-291, 2018 |
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| On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs, , and , in: Proceedings of Interspeech, Hyderabad, INDIA, pages 1116-1120, 2018 |
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| Overview of BTAS 2016 Speaker Anti-spoofing Competition, , , , , , , , , , , , , , , and , Idiap-RR-24-2016 |
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| Overview of BTAS 2016 Speaker Anti-spoofing Competition, , , , , , , , , , , , , , , and , in: IEEE International Conference on Biometrics: Theory, Applications and Systems, 2016 |
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P
| Presentation Attack Detection Using Long-Term Spectral Statistics for Trustworthy Speaker Verification, , and , in: International Conference of the Biometrics Special Interest Group (BIOSIG), 2016 |
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T
| Towards directly modeling raw speech signal for speaker verification using CNNs, , and , Idiap-RR-30-2017 |
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| Towards directly modeling raw speech signal for speaker verification using CNNs, , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, CANADA, pages 4884-4888, 2018 |
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| Trustworthy speaker recognition with minimal prior knowledge using neural networks, , Ecole polytechnique fédérale de Lausanne (EPFL), 2019 |
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U
| Understanding and Visualizing Raw Waveform-based CNNs, , , and , in: Proceedings of Interspeech, 2019 |
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