Method for Text-Based Customization of Wakeup Word Based on Multimodal Training and Languague-Independent Phonemization
D. Macedo and G. Zucatelli et al.
USPTO - TBD
INPI - BR 10 2024 016214 5 (2024)
Guilherme Zucatelli, PhD
Signal Processing Expert
Deep Learning/AI Specialist
Researcher and
Tech Lead
Data Processing/Analytics
Pattern Recognition
Stochastic Modeling
zucatelli@ieee.org
Non-Stationarity Objective Assessment for Acoustic Source Classification
G. Zucatelli, R. Barioni and E. Salles
XLI SBrT Symposium (2023)
Improving Non-Stationary Acoustic Source Classification with Metric Learning
G. Zucatelli and R. Barioni
XLI SBrT Symposium (2023)
Method and System for Performing Data Augmentation Based on Modified Surrogates and Non-Transitory Computer Readable Medium
D. Souza, F. Ferreira and G. Zucatelli
USPTO - US17992473 (2023)
INPI - BR 10 2022 019749 0 (2022)
Adaptive Reverberation Absorption using Non-stationary Masking Components Detection for Intelligibility Improvement
G. Zucatelli and R. Coelho
ICASSP - International Conference on Acoustics, Speech, and Signal Processing
SPS Journal Paper Poster, Toronto, Canada (2021)
Adaptive Learning with Surrogate Assisted Training Models using Limited Labeled Acoustic Sample Sequences
G. Zucatelli and R. Coelho
IEEE Statistical Signal Processing Workshop (SSP)
Adaptive Signal Processing, Rio de Janeiro, Brazil (2021)
Adaptive Reverberation Absorption using Non-stationary Masking Components Detection for Intelligibility Improvement
G. Zucatelli and R. Coelho
IEEE Signal Processing Letters (2020)
A Two-Stage Approach for Noisy- Reverberant Speech Intelligibility Improvement
G. Zucatelli, F. Farias and R. Coelho
XXXVIII SBrT Symposium (2020)
Adaptive Learning With Surrogate Assisted Training Models for Acoustic Source Classification
G. Zucatelli, R. Coelho and L. Zão
IEEE Sensors Letters (2019)
IDEA App - Acoustic Emotion IDentification App
G. Zucatelli
- CREA-RJ Award [best undergraduate thesis among all graduating electronic engineers in Rio de Janeiro] (2017)
- Best Undergraduate Research Award [annually IME Undergraduate Research Meeting] (2016)