Latest

• Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?
• DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input
• SPOOFING ATTACK AUGMENTATION: CAN DIFFERENTLY-TRAINED ATTACK MODELS IMPROVE GENERALISATION?
• SynVox2: Towards a privacy-friendly VoxCeleb2 dataset
• Joint speaker encoder and neural back-end model for fully end-to-end automatic speaker verification with multiple enrollment utterances
• Speaker Anonymization Using Orthogonal Householder Neural Network
• Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms
• Range-Based Equal Error Rate for Spoof Localization
• Towards Single Integrated Spoofing-aware Speaker Verification Embeddings
• ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
• Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?
• Hiding Speaker’s Sex in Speech Using Zero-Evidence Speaker Representation in an Analysis/Synthesis Pipeline
• Spoofed Training Data for Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders
• Investigating Active-Learning-Based Training Data Selection for Speech Spoofing Countermeasure
• Speaker-Text Retrieval via Contrastive Learning
• The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance
• ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations
• A Practical Guide to Logical Access Voice Presentation Attack Detection
• Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions
• Attention Back-End for Automatic Speaker Verification with Multiple Enrollment Utterances
• Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation
• Estimating the Confidence of Speech Spoofing Countermeasure
• Investigating Self-Supervised Front Ends for Speech Spoofing Countermeasures
• Language-Independent Speaker Anonymization Approach Using Self-Supervised Pre-Trained Models
• The VoicePrivacy 2020 Challenge: Results and findings
• A Multi-Level Attention Model for Evidence-Based Fact Checking
• A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection
• An Initial Investigation for Detecting Partially Spoofed Audio
• ASVspoof 2019: Spoofing Countermeasures for the Detection of Synthesized, Converted and Replayed Speech
• ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
• Benchmarking and challenges in security and privacy for voice biometrics
• Denoising-and-Dereverberation Hierarchical Neural Vocoder for Robust Waveform Generation
• End-to-End Text-to-Speech Using Latent Duration Based on VQ-VAE
• How Similar or Different is Rakugo Speech Synthesizer to Professional Performers?
• Multi-task Learning in Utterance-level and Segmental-level Spoof Detection
• Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis
• Fundamental Frequency Modeling for Neural-Network-Based Statistical Parametric Speech Synthesis (ニューラルネットワークに基づく統計的音声合成のための基本周波数モデリング)