Latest
- 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
- 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
- Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing
- ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
- Design Choices for X-Vector Based Speaker Anonymization
- Introducing the VoicePrivacy Initiative
- Modeling of Rakugo Speech and Its Limitations: Toward Speech Synthesis That Entertains Audiences
- Neural Source-Filter Waveform Models for Statistical Parametric Speech Synthesis
- Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals
- Transferring Neural Speech Waveform Synthesizers to Musical Instrument Sounds Generation
- Using Cyclic Noise as the Source Signal for Neural Source-Filter-Based Speech Waveform Model
- Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings
- ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
- Investigation of Enhanced Tacotron Text-to-speech Synthesis Systems with Self-attention for Pitch Accent Language
- Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNet
- MOSNet: Deep Learning based Objective Assessment for Voice Conversion
- Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis
- Neural Source-filter-based Waveform Model for Statistical Parametric Speech Synthesis
- Rakugo speech synthesis using segment-to-segment neural transduction and style tokens --- toward speech synthesis for entertaining audiences
- Speaker Anonymization Using X-vector and Neural Waveform Models