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Giovanni Pepe
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2020 – today
- 2022
- [j2]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Deep Optimization of Parametric IIR Filters for Audio Equalization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1136-1149 (2022) - [c6]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Digital Filters Design for Personal Sound Zones: a Neural Approach. IJCNN 2022: 1-8 - 2021
- [i1]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Deep Optimization of Parametric IIR Filters for Audio Equalization. CoRR abs/2110.02077 (2021) - 2020
- [c5]Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE 2020: 26-30 - [c4]Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE 2020: 31-35 - [c3]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi:
Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. EUSIPCO 2020: 496-500 - [c2]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi:
Deep Learning for Individual Listening Zone. MMSP 2020: 1-6
2010 – 2019
- 2019
- [j1]Paolo Vecchiotti, Giovanni Pepe, Emanuele Principi, Stefano Squartini:
Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation. Expert Syst. Appl. 134: 53-65 (2019) - 2017
- [c1]Giovanni Pepe, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini, Luca Cattani:
Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. IIH-MSP (1) 2017: 33-43
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