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Adversarial Learning

2,112 papers

Papers per year

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Papers

Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion INTERSPEECH 2021
Adversarial Voice Conversion Against Neural Spoofing Detectors INTERSPEECH 2021
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation INTERSPEECH 2021
Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion INTERSPEECH 2021
Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification INTERSPEECH 2021
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning INTERSPEECH 2021
StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition INTERSPEECH 2021
Investigating Contributions of Speech and Facial Landmarks for Talking Head Generation INTERSPEECH 2021
Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis INTERSPEECH 2021
Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN INTERSPEECH 2021
GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis INTERSPEECH 2021
UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation INTERSPEECH 2021
Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition INTERSPEECH 2021
High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model INTERSPEECH 2021
Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification INTERSPEECH 2021
Voting for the Right Answer: Adversarial Defense for Speaker Verification INTERSPEECH 2021
Adversarial Data Augmentation for Disordered Speech Recognition INTERSPEECH 2021
LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021
How Well Generative Adversarial Networks Learn Distributions JMLR 2021
Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning NAACL 2021
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation WACV 2021
Multi-Frame Recurrent Adversarial Network for Moving Object Segmentation WACV 2021
Backpropagating Linearly Improves Transferability of Adversarial Examples NIPS 2020
Reciprocal Adversarial Learning via Characteristic Functions NIPS 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NIPS 2020