Real-time emulation of the Clavinet. - Leonardo Gabrielli; Vesa Välimäki; Stefan Bilbao (ICMC, 2011)

Adaptive Linear Prediction Filtering in DWT Domain for Real-Time Musical Onset Detection. - Leonardo Gabrielli; Francesco Piazza; Stefano Squartini (EURASIP J. Adv. Signal Process., 2011)

The Yin Yang Theory in sound and Music: a First Exploration. - Leonardo Gabrielli; Daniele Gabrielli (ICMC, 2012)

A digital waveguide-based approach for Clavinet modeling and synthesis. - Leonardo Gabrielli; Vesa Välimäki; Henri Penttinen; Stefano Squartini; Stefan Bilbao (EURASIP J. Adv. Signal Process., 2013)

Smart water grids for smart cities: A sustainable prototype demonstrator. - Leonardo Gabrielli; Mirco Pizzichini; Susanna Spinsante; Stefano Squartini; Roberto Gavazzi (EuCNC, 2014)

A nonlinear second-order digital oscillator for Virtual Acoustic Feedback. - Leonardo Gabrielli; M. Giobbi; Stefano Squartini; Vesa Välimäki (ICASSP, 2014)

Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks. - Erik Marchi; Giacomo Ferroni; Florian Eyben; Leonardo Gabrielli; Stefano Squartini; Björn W. Schuller (ICASSP, 2014)

Computational Intelligence in Smart water and gas grids: An up-to-date overview. - Marco Fagiani; Stefano Squartini; Leonardo Gabrielli; Mirco Pizzichini; Susanna Spinsante (IJCNN, 2014)

Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results. - Susanna Spinsante; Stefano Squartini; Leonardo Gabrielli; Mirco Pizzichini; Ennio Gambi; Francesco Piazza (Int. J. Distributed Sens. Networks, 2014)

Parallel digital signal processing for efficient piano synthesis. - Leonardo Gabrielli; Stefano Zambon; Federico Fontana (EUSIPCO, 2015)

A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments. - Marco Fagiani; Stefano Squartini; Leonardo Gabrielli; Susanna Spinsante; Francesco Piazza (Neurocomputing, 2015)

Domestic Water and Natural Gas Demand Forecasting by Using Heterogeneous Data: A Preliminary Study. - Marco Fagiani; Stefano Squartini; Leonardo Gabrielli; Susanna Spinsante; Francesco Piazza (Advances in Neural Networks, 2015)

Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. - Giovanni Pepe; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini; Luca Cattani (IIH-MSP (1), 2017)

Hierarchic Conv Nets Framework for Rare Sound Event Detection. - Fabio Vesperini; Diego Droghini; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (EUSIPCO, 2018)

Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. - Fabio Vesperini; Andrea Galli; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (IJCNN, 2018)

End-to-End Learning for Physics-Based Acoustic Modeling. - Leonardo Gabrielli; Stefano Tomassetti; Carlo Zinato; Francesco Piazza (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. - Leonardo Gabrielli; Livio Ambrosini; Fabio Vesperini; Valeria Bruschi; Stefano Squartini; Luca Cattani (IJCNN, 2019)

Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data. - Alessandro Ferri; Riccardo Rosati 002; Michele Bernardini; Leonardo Gabrielli; Sara Casaccia; Luca Romeo; Andrea Monteriù; Emanuele Frontoni (ISCT, 2019)

Polyphonic Sound Event Detection by Using Capsule Neural Networks. - Fabio Vesperini; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (IEEE J. Sel. Top. Signal Process., 2019)

A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. - Leonardo Gabrielli; Stefano Tomassetti; Stefano Squartini; Carlo Zinato; Stefano Guaiana (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Luca Cattani; Carlo Tripodi (EUSIPCO, 2020)

Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models. - Michela Cantarini; Luca Serafini; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (ICIC (1), 2020)

Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. - Marco Severini; Emanuele Principi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IJCNN, 2020)

Deep Learning for Individual Listening Zone. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Luca Cattani; Carlo Tripodi (MMSP, 2020)

Neural Beamforming for Speech Enhancement: Preliminary Results. - Stefano Tomassetti; Leonardo Gabrielli; Emanuele Principi; Daniele Ferretti; Stefano Squartini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Arbitrary-Order IIR Antiderivative Antialiasing. - Pier Paolo La Pastina; Stefano D'Angelo; Leonardo Gabrielli (DAFx, 2021)

Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study. - Michela Cantarini; Anna Brocanelli; Leonardo Gabrielli; Stefano Squartini (ISPA, 2021)

Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. - Diego Droghini; Stefano Squartini; Emanuele Principi; Leonardo Gabrielli; Francesco Piazza (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars. - Michela Cantarini; Leonardo Gabrielli; Lucia Migliorelli; Adriano Mancini; Stefano Squartini (AII, 2022)

Towards a Sustainable Internet of Sounds. - Leonardo Gabrielli; Luca Turchet (Audio Mostly Conference, 2022)

Digital Filters Design for Personal Sound Zones: a Neural Approach. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Carlo Tripodi; Nicolo Strozzi (IJCNN, 2022)

Few-Shot Emergency Siren Detection. - Michela Cantarini; Leonardo Gabrielli; Stefano Squartini (Sensors, 2022)

Antiderivative Antialiasing for Arbitrary Waveform Generation. - Leonardo Gabrielli; Stefano D'Angelo; Pier Paolo La Pastina; Stefano Squartini (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Deep Optimization of Parametric IIR Filters for Audio Equalization. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Carlo Tripodi; Nicolo Strozzi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Score-aware Generative Approach for Music Signals Inpainting. - Carlo Aironi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IS2, 2023)

An advanced multimodal driver-assistance prototype for emergency-vehicle detection. - Leonardo Gabrielli; Lucia Migliorelli; Michela Cantarini; Adriano Mancini; Stefano Squartini (Integr. Comput. Aided Eng., 2024)