معرفی
Lauri Juvela is an Assistant Professor at Aalto University's Department of Information and Communications Engineering, specializing in speech synthesis, audio signal processing, and neural audio effects. His work bridges deep learning, signal processing, and audio engineering.
- Education: Not explicitly mentioned in provided texts
Research Interests include:
- Speech waveform generation using source-filter vocoding
- Adversarial speech synthesis and watermarking
- Virtual analog audio effect modeling with neural networks
- Nonlinear distortion estimation and restoration
- Speaker-independent formant synthesis
- Generative models for audio (GANs, diffusion, DDSP)
Recent Article Trends (2025-2021) show focus on:
- Neural audio effect modeling with synthetic data frameworks
- Diffusion-based approaches for distortion restoration
- Nonlinear dynamics linearization in audio effects
- Collaborative watermarking against adversarial speech
- High-fidelity glottal excitation models
- Guitar amplifier modeling with unpaired data
Scientific Awards:
- ISCA Award for best student paper at Interspeech 2016
- IEEE Award for best student paper at ICASSP’16
Advising & Grants: No student names mentioned in provided texts. Specific grants not detailed, but active in funded research areas like adversarial speech detection.
Labs & Teams: Collaborates with speech synthesis research groups at Aalto University, particularly in the Department of Signal Processing and Acoustics. Works with cross-disciplinary teams in audio codec augmentation and neural audio effect modeling.
