Proposals
Audio
Field | Contact | Title | Thesis type | Description |
|---|---|---|---|---|
| Audio Signal Processing | Bernardini, Ceri | The human genome emits a variety of “signals”, produced by applying different kinds of methods/technologies for extracting information out of it. Among them, mutations, gene expression, peaks of expressions revealing protein bindings, copy number alterations, 3D contacts, and so on. Most of genome signals can be shown aligned on the genome by using a “genome browser”, which displays the information among the genome at different levels of resolution (from each individual base up to compact representations where an entire chromosome fits on the screen). However, the collective perception of these signals for interpreting their meaning and answering specific research/clinical questions is far from trivial; among the most intriguing questions, separating the signals from genomes of healthy (wild-type) humans from those affected by diseases (and particularly cancer). Sonification has proven effective in integrating a variety of signals and providing auditive information that, once perceived as a sound, is very informative about global properties of the underlying reality. The objective of this thesis is to apply sonification methods to genome signals, displayed and selected visually, so as to produce an interesting and new form of investigation. This master thesis will take advantage of preliminary work where sound production is integrated within a sonification platform driven by the “integrated genome browser” (IGB); it requires an open mind to interdisciplinary work with not much background in any of the cited disciplines. The thesis will take advantage from an interdisciplinary group of tutors, which includes experts in genomics, music informatics and sonification, and also professional musicians. | ||
| Audio Signal Processing | Bernardini | Implementing a creative audio spatializer with binaural rendering capabilities | Full thesis | 5 to 6 months Internship at ARTURIA starting in February/March 2024. |
| Audio Signal Processing | Bernardini | Virtual Analog Modeling using Machine Learning | Full thesis | 5 to 6 months Internship at ARTURIA starting in February/March 2024. |
| Audio Signal Processing | Bernardini | Strategies for Clipping Prevention in Dynamic Sound Filtering | Full thesis | The thesis aims to validate a method capable of predicting the occurrence of clipping at the output of a network of parametric digital filters, typically used in digital audio effects. If validated, this method would enable us to continuously monitor the values that a filtering parameter can assume without causing clipping. The student will assess the effectiveness of the method, particularly in parametric equalizers, highlighting aspects of robustness and weaknesses in specific implementations when their parameters are altered during equalization. |
| 3D audio | Olivieri, Pezzoli, Antonacci | Nearfield filter for spherical microphone array recordings | Full thesis | Spherical Microphone Arrays (SMA) are very suitable for binaural rendering and in general for spatial audio applications. In this thesis we are interested in developing new methods to filter the undesired signals in a nearfield region of the SMA. |
| Audio Signal Processing | Olivieri, Pezzoli, Antonacci | Development of acoustic simulation framework for GPU | Short thesis | Parallel implementations speed up the computation of acoustic simulations. In this short thesis it is required to develop a Room Impulse Response renderer for Spherical Microphone Arrays for GPUs. The software will be preferrabily developed with CUDA and Python. Required knowledge: computational acoustics (RIRs, Image Source Method, ...) and experience with practical coding. |
| Musical Acoustics | Pezzoli, Cillo | Enhancement of a reduced-order finite-element model of a classical guitar | Full/short thesis | [Thesis abroad at the Institute of Engineering and Computational Mechanics (ITM), University of Stuttgart, Germany.] A recently developed high-fidelity finite-element guitar model combined with experimental modal analysis can successfully identify the material characteristics of already existing instruments. Parametric Model Order Reduction (PMOR) is applied to significantly reduce the computational time of the model. During the PMOR procedure, minor simplifications to the model need to be undertaken, leading to deviations of the reduced-order model from the original model. This thesis aims to enhance the reduced-order model via optimization and/or data-driven methods to compensate for the error term resulting from the simplifications in the reduced-order model. Required knowledge: foundations on Finite Element Methods, in depth-knowledge of deep learning (long version). |
| Audio forensics | Bestagini, Antonacci | Detection of text-to-speech algorithms | Full thesis | Nowadays, text-to-speech and voice conversion algorithms are able to produce very realistic speech signals, which can easily trick human ear. Moreover, this technology is in rapid evolution and it is not possible to take in account all new synthesis methods. It is necessary to develop effective synthetic speech detection systems able to work in open-set scenarios. |
| Audio forensics/Audio signal processing | Mezza | Adversarial Attacks in Acoustic Scene Classification | Full thesis | Acoustic scene classification (ASC) is the task of recognizing an environment from the sound it produces, i.e., given an audio file, we would like to determine where it was recorded (airport, bus, park, etc.) The deployment of ASC systems in real-life security and surveillance applications entails significant issues concerning their accountability and reliability. However, the robustness and interpretability of these methods, which are typically based on deep neural networks, is still an open problem. This thesis aims to study the effects of adversarial attacks in the context of ASC. Namely, we will investigate how these methods would react to deliberate perturbations of the audio signal designed to be small enough to trick them into failing while not being detectable by the human ear. |
| Musical acoustics | Antonacci, Olivieri, Pezzoli | Nearfield Acoustic Holography solver based on Physics-Informed Neural Network | Full thesis | Physics-Informed Neural Networks (PINNs) are powerful optimizers that exploit the prior knowledge of physical laws as regularization agent also in unsupervised learning tasks. This thesis aims at extending the recent approaches of data-driven Nearfield Acoustic Holography (NAH) with solutions based on PINN. |
| Audio Signal Processing | Mezza, Bernardini, Sarti | Deep Packet Loss Concealment for Speech | Full thesis | Voice communications over the Internet have become an integral part of everyday life. However, speed is often prioritized over reliability in order to respect strict real-time constraints. Consequently, short audio segments (packets) risk being severely delayed or lost. We recently developed a hybrid Packet Loss Concealment (PLC) method combining signal-processing and deep learning techniques in a synergistic way. The method, predicting future samples from a past audio context, proved to be state of the art for real-time networked music applications. In this thesis, we will explore its performance on speech signals and evaluate it against the latest deep PLC methods, such as those presented at INTERSPEECH2022. [Required knowledge: autoregressive (AR) models; practical experience with deep learning] |
| Audio signal processing | Antonacci, Pezzoli | Characterization and analysis of the directivity of sound sources | Full thesis, Short thesis | The directivity is an inherent property of every sound source (e.g., a musical instrument). The goal of this thesis is to define suitable descriptors for the directivity of sound sources which can be used when comparing different directivities. Long or short thesis depends on the depth and novelty of the analysis. [Required knowledge: basic knowledge of statistical signal processing, spherical harmonics decomposition of sound field]. |
| Audio signal processing | Antonacci, Pezzoli | Deep learning solution for localization of acoustic sources in the spherical harmonics domain | Full thesis | The spherical harmonics representation of the sound field is a widely adopted description of spatial sound. The goal of this thesis is to devise deep learning solutions that exploit the spherical harmonics representation for the analysis of the acoustic field e.g., localization of acoustic sources. [Required knowledge: spherical harmonics decomposition of sound field, theoretical knowledge and pratical experience with deep learning] |
| Audio signal processing | Bernardini, Giampiccolo | Vacuum Tubes Modeling by means of Neural Networks in the Wave Digital Domain | Full thesis | Recently, we proposed a method for encompassing neural networks in Wave Digital structures for the emulation of audio analog gear. Such a methods relies on vector waves, a particular definition of waves which allows us to efficiently model multiport nonlinearities. The thesis will go deep inside the topic and will try to exploit the same methodology for the emulation of vacuum tubes (triodes, but also pethode, eptode, etc.) as, until now, the technique has been applied only to BJTs. |
| Audio signal processing | Bernardini, Giampiccolo | Dynamic Scattering Recomputation applied to Extended Fixed-Point Methods in the Wave Digital Domain | Full thesis | The thesis concerns the application of the Dynamic Scattering Recomputation (DSR) method for the improvement of a particular class of wave digital iterative methods, in presence of multiple scalar nonlinearities. The application is the emulation of audio circuits in the context of Virtual Analog Modeling. |
| Audio signal processing | Bernardini, Giampiccolo | Virtual Analog Modeling, Audio Circuit Emulation, Physical Modeling Sound Synthesis through Wave Digital Filters | Full thesis | |
| Differential Microphone Arrays | Bernardini, Albertini | Two-Stage Differential Beamforming over Networks of Microphone Arrays | Full thesis | [Intership at ST Microelectronics, Agrate Brianza (BG)] Differential Microphone Arrays (DMAs) have attracted significant attention in the field of acoustic array processing due to their frequency-invariant spatial responses and small size. Recently, there has been a growing interest in systems combining the output of "local" DMA units to perform further spatial filtering. Up to now, systems composed of multiple DMA units are confined to a spatially localized area. By using a more complex sound source propagation model, the thesis will explore the development of spatial filters (beamformers) relying on multiple spatially distributed DMAs. The thesis will involve both theoretical and more implementative aspects. |
| Anomaly Detection with Time Series | Bernardini, Albertini, Augusti | Anomaly Detection with Industrial IoT Nodes under Domain Shift Conditions | Full thesis | [Intership at ST Microelectronics, Agrate Brianza (BG)] Anomaly detection is a critical aspect of many industries, allowing for the early detection of equipment failures or abnormalities. One major challenge lies in adapting anomaly detection systems to operate effectively in changing environments and varying conditions, where the data distribution may differ from the training data. The thesis aims to develop an anomaly detection solution by incorporating sensor fusion techniques acquired with an industrial IoT node. Specifically, the intern will focus on integrating audio and accelerometer data to create a more robust monitoring system. |
| Musical Acoustics | Antonacci, Olivieri, Pezzoli | The impact of reverberation for data-driven Nearfield Acoustic Holography | Full/short thesis | Recent Deep Learning techniques proved the ability to infer the vibrational behavior in plates starting from acoustic measurements. This thesis aims at quantifying the performance of the current data-driven methods for Nearfield Acoustic Holography in the presence of reverberation (short thesis) and extending the neural network model to work in reverberant scenarios (long thesis). |
| Musical Acoustics | Antonacci, Olivieri, Pezzoli | Transfer Learning techniques for Nearfield Acoustic Holography analysis | Full/short thesis | Recent data-driven based NAH methods can predict the vibrational behavior on sources from the acquisition of the radiated sound field. Nevertheless, these approaches are dependent on the training dataset used (i.e., acquisition setup and vibrational source). This thesis aims at extending the recent solutions with transfer learning strategies in order to tune the networks with different data and improving the model with specific physical priors to reconstruct the vibrational content with an unsupervised approach (long thesis). [knowledge of Deep Learning required] |
| Musical Acoustics | Gonzalez, Malvermi, Antonacci | Experimental measurement and construction of violin top plates | Full/short thesis | The aim of this thesis is twofold: measure the material properties of violin top plates and build violin top plates with certain material properties. For this the student will use a CNC router to build the plates and a experimental set up that measures the FRF of the plate to compute its material parameters. The goal is to be able to produce top plates with a defined mechanical response irrespective of the varying material parameters of the wood the top is made of. Experimental thesis in Cremona Campus, FEM modelling required, Fusion 360 optional. |
| Musical Acoustics | Gonzalez, Antonacci | Role of f-hole design in stress distribution on the violin top plate | Long thesis | The role of the f-holes in violins is to let the sound vibrations leave the body of the instrument and reach the audience. However, cutting holes in the top plate weakens it. By cutting curves and circles, the instrument maker avoids creating the stress concentrations associated with sharp corners. The aim of this thesis is to study the stress behaviour in a violin soundboard for different f-hole designs. Comsol experience preferred. |
| Musical Acoustics | Gonzalez, Malvermi, Antonacci | Effect of tailpiece height in the acoustic response of a violin | Long thesis | Varying the height of the tailpiece is one of the ways luthiers can control the sound production of the violin. By changing the angle of the strings, there is a modification in the effective pressure that the bridge, and consequently the violin top plate, feels. This compression of the violin is believed to affect the sound production of the instrument. This thesis aims to study, by means of simulations, the effect the net static force in the bridge has in the dynamics of the instrument. If time allows the thesis could also include experimental measurements with the help of Amorim fine violins. |
| Musical Acoustics | Gonzalez, Antonacci | Linear interpolation between shapes in western guitars | Long thesis | In one of our last thesis projects we have developed a completely parametric model of the guitar. The objective of this thesis is to study how vibrational characteristics change when smoothly varying the shape of a guitar between standard models, say between a Jumbo and a Dreadnought. The work involves the creation of different virtual models and its study with Comsol multiphysics. |
| Musical Acoustics | Gonzalez, Malvermi, Antonacci | Towards 3D printed usable violins | Long thesis | |
| Musical Acoustics | Gonzalez, Greco, Antonacci | Timbral Study of 3D printed organ pipes | Long thesis | Recently, researchers have presented a theoretical model to understand the timbre of the organ by mapping its sound to a bi-dimensional map in the spectral-centroid and envelope slope of the spectra. This thesis wants to study how geometric variations in 3D printed organ pipes determine the location of the sound in this timbral map. |
| Musical Acoustics | Gonzalez, Longo, Antonacci | Development of online visualization tool for radiation pattern data / TAKEN | Short thesis | Presenting the results of radiation patterns experiments and simulations is a rather complex thing to do on paper. One would like to see a 2D field that changes with frequency, and compare different patterns at different frequencies to gain insight on how the design of an instrument influences its radiation pattern. The objective of this thesis is to, using the results of previous projects, present them in an online way that takes full advantage of the multimedia nature of webpages. In particular we are thinking of a github page that can easily display the information of comsol simulations in a easy to use and understand manner. |
| Musical Acoustics | Gonzalez, Malvermi, Antonacci | Experimental study of wooden metamaterials / TAKEN | Long thesis | Experimental realisation of metamaterials for instrument making: guitar top plates, violin top plates, archtop top plates. Studies of vibrational and stiffness behaviour. Needs to live in Cremona. |
| Musical Acoustics | Gonzalez, Longo, Antonacci | Neural Network-based prediction of sound fields in guitars | Short thesis | Recently we have shown that a neural network can accurately predict the vibrational response of guitar for different material and geometric configurations. The results for the prediction of sound pressure level are however not as good and require more training data and/or a different architecture for the neural network. This short thesis aim is to create the dataset and train the network in the expanded data. |
| Musical Acoustics | Gonzalez, Longo, Antonacci | The influence of scale length and string pre-stress in the vibrational and radiative properties of guitars / TAKEN | Long thesis | When studying musical instruments researchers usually focus on the body as the main explicative feature of the instrument. The neck, however, also has an influence and different lengths are currently in production in the industry. This thesis proposes to study the effect of scale length in the vibrational and radiative properties of a guitar, together with the load bearing effects that strings of different lengths have in the instrument. |
| Musical Acoustics | Gonzalez, Antonacci | Developing a new Manouche guitar: studying different bracings models for the gypsy jazz icon | Long thesis | Manouche guitars are a mix between mandolins, parlour and archtop guitars. Created in Paris by Italian luthier Macaferri, they represent a particular understanding of how to make instruments. Their design takes from the parlour guitar in terms of bracing, from the archtop in its shape and floating bridge, and from the mandolin in its bent top plate. The aim of this thesis is to study, by means of simulations, different bracing patterns that could inform a new way of crafting these instruments. The selected model when then be built by one of the advisors. |
| Musical Acoustics | Greco, Antonacci | Neural Network-Based Prediction of Woodwind Mouthpiece Sound Characteristics through Finite Element Method Simulations | Long thesis | This master's thesis proposes a novel approach to explore the relationship between geometric parameters of woodwind instrument mouthpieces and their corresponding sound characteristics. Employing COMSOL Multiphysics, Finite Element Method (FEM) simulations will be conducted to assess impedance variations. Simulated geometries will be transformed into transfer matrices to create a dataset for training a neural network. The objective is to develop a predictive model capable of estimating sound behavior without explicit FEM simulations, thus offering a more efficient and accessible method for instrument design and optimization. The study aims to contribute to the field of music and acoustic engineering by reducing computational costs and time associated with traditional simulation methods. |
Image and Video
Field | Contact | Title | Thesis type | Description |
|---|---|---|---|---|
| Image/video forensics | Bestagini, Mandelli, Cannas | Detect and localize image and video manipulations | Full | Images and videos can be manipulated in many different ways (e.g., object insertion and removal, local retouching, laundering operations, etc.). We are interested in developing methods to detect and localize possible editing operations on images and videos. |
| Image/video forensics | Bestagini, Mandelli, Cannas | Distinguish original videos from DeepFakes | Full | DeepFake videos can be maliciously spread online. We are interested in developing techniques to detect whether a video is a DeepFake or not, why a detector says a video is fake, and understand which DeepFake generation software has been used to create a video. |
| Image/video forensics | Bestagini, Mandelli, Cannas | Assess the authenticity of satellite images | Full | Satellites can acquire visual data with different sensors. We are interested in developing techniques that verify whether an overhead image has been edited or not. |
| Image/video forensics | Bestagini, Mandelli, Cannas | Forensic analysis of scientific images | Full | Scientific publications in the life science area typically contain charcateristic kinds of images to showcase the achieved results (e.g., western blots, microscopy acquisitions, etc.). As these images differ from natural photographs, we are interested in developing novel techniques to detect possible scientific image forgery operations. |
| Image processing | Bestagini, Mandelli, Giganti | Enhanceent of emission maps | Full | Biogenic Volatile Organic Compounds (BVOCs) are gases emitted by plants under different leveles of stress. The study of these emissions is paramount for several applications related to environmental and pollution control. Measuring these emissions is often very challenging. It is therefore customary to only have a few sparse measurements over the area to control. The goal of this work is to apply interpolation and super-resolution techniques to fill-in the gaps in sparse emission maps. |
Geophysics
Contact | Title | Thesis type | Description |
|---|---|---|---|
| Tubaro, Lipari | Improving Full Waveform Inversion with CNNs | Full/short | Full Waveform Inversion reconstructs the subsurface velocities from a set of measurements. It is very expensive, time-consuming and prone to a number of tips and tricks for avoiding local minima, numerical instability and optimization errors. |
| Tubaro, Lipari | Denoising and Interpolation of seismic data through CNNs | Full/short | The amount of data is constantly increasing and the areas of interest are more and more complex to analyze. Moreover, they require a subsurface mapping at increasingly higher resolution and higher fidelity. Can CNNs help this process? |
| Tubaro, Lipari | Machine Learning guided Seismic Interpretation | Full/short | Human experts visually inspects seismic images looking for subsurface features. On the other hand, Machine Learning techniques have proven to be effective in image segmentation (i.e., recognizing objects and targets from a set of pixels). Can we merge these two worlds? |
| Tubaro, Lipari | Physics-aware Transfer Learning | Full/short | Can a neural network learn Physics? |
| Tubaro, Lipari | Regularizing Traveltime Tomography via Machine Learning | Full/short | Traveltime Tomography is an important tool for localizing subsurface events, both in medical and geophysical imaging. The tomography problem is a ill-posed and ill-conditioned inverse problem, which suffers a lot from numberical instability, local minima, and noise. Here's where the machine learning comes into play! |
Currently on-going
Expand list
Field | Supervisor | Topic | Student(s) |
|---|---|---|---|
| Audio signal processing | Bernardini, Giampiccolo | 2D Canonical Piecewise-Linear functions for the Wave Digital Modeling of 2-port Nonlinearities | Valerio Maiolo |
| 3D audio | Pezzoli, Olivieri | Acoustic Virtual Reality evaluation system | Francesca Del Gaudio |
| Audio signal processing | Bernardini, Giampiccolo | Modeling of MOSFETs for Virtual Analog Applications | Marco Ferrè |
| 3D audio | Pezzoli, Olivieri | Neural Network-based representation of sound source directivity | Edoardo Morena |
| Audio signal processing | Bernardini, Giampiccolo, Albertini | Antiderivative Antialiasing for MOSFETs | Christian Parra |
| Space-time audio | Pezzoli, Miotello | Spherical microphone array upsampling | Ferdinando Terminiello |
| Space-time audio | Pezzoli, Olivieri | Sound field reconstruction for 6DoF navigation | Silvio Attolini |
| Space-time audio | Antonacci, Pezzoli, Miotello, Olivieri | Real-time microphone array rendering framework for binaural reproduction | Paolo Ostan |
| Space-time audio | Antonacci, Pezzoli | Sound field separation in the spherical harmonics domain | Sagi Della-Torre |
| Space-time audio | Antonacci, Pezzoli | Analysis of the directivity of sound sources | Hou Hin Au-Yeung |
| Audio signal processing | Bernardini, Giampiccolo | Modeling of Nonlinear Piezoelectric Loudspeakers | Armando Boemio |
| Image forensics | Bestagini, Mandelli | Manipulation detection for scientific images | Giovanni Zanocco |
| Musical Acoustics | Antonacci, Olivieri | Towards white-box data-driven methods for Near-field Acoustic Holography | Hagar Kafri |
| Music informatics | Sarti, Mezza, Bernardini | Unsupervised selection of harmonic complexity metrics | Giorgio De Luca |
| Music informatics | Zanoni, Borrelli | Social interaction based music recommendation system | Carlo Pulvirenti |
| Music informatics | Sarti, Borrelli | Connecting NN to bio-metric signals | Joep Rene Wulms |
| Musical Acoustics | Gonzalez, Antonacci | Random variation of guitar bracings | Mattia Vanessa |
| Musical acoustics | Gonzalez, Antonacci | Metamaterials for guitarmaking | Gabriele Marelli, Mattia Lercari |
| Musical acoustics / AI | Gonzalez, Antonacci | AI-powered pick up: making guitars sound great again | Emanuele Voltini |
| Space-time audio | Pezzoli, Comanducci | Generative Models for HRTF prediction | Juan Camilo Albarracín Sánchez |
| Music Informatics | Sarti, Comanducci | HandMonizer, personalized digital musical instrument design | Antonios Pappas |
| Music Informatics | Comanducci, Mezza | Impact of velocity on drum patterns perceived complexity | Gabriele Maucione |
| Music Informatics | Comanducci, Ronchini, Zanoni | Personalized Music Generation using text-to-music models | Gabriele Perego |
Past (from 2017)
Expand list
Field | Supervisor | Title | Student(s) | Link |
|---|---|---|---|---|
| Music Informatics | Zanoni, Comanducci | Procedural Music Generation For Video games | Francesco Zumerle | https://www.politesi.polimi.it/handle/10589/210809 |
| Audio signal processing | Bernardini, Giampiccolo, Mezza | On the Use of Fundamental Frequency Estimation for Virtual Bass Enhancement | Fabio Spreafico | |
| Video forensics | Bestagini, Cannas | Deepfake video detection through multi-look analysis | Adriano Bonfantini | |
| Video processing | Bestagini, Redondi | Automatic video analysis of badminton matches | Ivan Motasov | |
| Space-time audio | Bernardini, Giampiccolo, Mezza | Designing of Scattering Delay Networks Via Automatic Differentiation | Francesco Boarino | https://www.politesi.polimi.it/handle/10589/211644 |
| Audio signal processing | Bernardini, Giampiccolo | A Wave Digital Extended Fixed-Point Method for Virtual Analog Applications | Davide Marin Pasin | https://www.politesi.polimi.it/handle/10589/212614 |
| Space-time audio | Antonacci, Pezzoli | DIRECTION OF ARRIVAL ESTIMATION USING CONVOLUTIONAL RECURRENT NEURAL NETWORK WITH RELATIVE HARMONIC COEFFICIENTS AND TRIPLET LOSS IN NOISY AND REVERBERATING ENVIRONMENTS | Luca Cattaneo | |
| Musical Acoustics | Ripamonti, Malvermi, Gonzalez | Experimental Validation for data-driven Near-field Acoustic Holography | Alessio Lampis | |
| Musical Acoustics | Antonacci, Malvermi | Improved sensors for low-cost Vibrometric Kit | Fabio Guarnieri | |
| Audio signal processing | Bernardini, Giampiccolo | A Wave Digital Hierarchical Quasi-Newton Method for Virtual Analog Modeling | Luca Gobbato | https://www.politesi.polimi.it/handle/10589/198537 |
| Musical Acoustics | Sarti, Paoletti, Adali, Malvermi | Acoustic Characterization of materials | Marco Donzelli | |
| Music Informatics | Zanoni, Comanducci | Deep Learning-based Timbre Transfer | Silvio Pol | https://www.politesi.polimi.it/handle/10589/189682 |
| Audio signal processing | Antonacci | A perceptual evaluation of sound field reconstruction algorithms | Miriam Papagno | https://www.politesi.polimi.it/handle/10589/186341 |
| Audio signal processing | Bernardini, Giampiccolo | Characterization of Small-Size Loudspeakers for Mobile Applications | Samuele Buonassisi | https://www.politesi.polimi.it/handle/10589/189746 |
| Image forensics | Bestagini, Cannas | Enhanced Amplitude SAR Imagery Splicing Localization through Land Cover Mapping Techniques | Emanuele Intagliata | |
| Geophysics | Bestagini, Lipari | Salt Segmentation of Geophysical Images through Explainable CNNs | Francesco Maffezzoli | |
| Audio forensics | Bestagini, Borrelli | A metric learning approach for splicing localization based on synthetic speech detection | Francesco Castelli | https://www.politesi.polimi.it/handle/10589/184332 |
| Audio forensics | Bestagini, Borrelli | Combining automatic speaker verification and prosody analysis for synthetic speech detection | Luigi Attorresi | https://www.politesi.polimi.it/handle/10589/187094 |
| Music informatics | Bestagini, Cuccovillo | Speech fingerprinting and matching for content retrieval | Laura Colzani | https://www.politesi.polimi.it/handle/10589/187212 |
| Video forensics | Bestagini | A CNN-based detector for video frame-rate interpolation | Simone Mariani | https://www.politesi.polimi.it/handle/10589/186433 |
| Image/video processing | Bestagini | Audio-video techniques for the analysis of players behaviour in Badminton matches | Samuele Bosi | https://www.politesi.polimi.it/handle/10589/186571 |
| Video forensics | Bestagini, Mandelli | Forensic detection of deepfakes generated through video-to-video translation | Carmelo Fascella | https://www.politesi.polimi.it/handle/10589/182988 |
| Audio signal processing | Bernardini, Mezza, Giampiccolo | Wave Digital Filter Modeling of Audio Circuits with Hysteresis Nonlinearities using Neural Networks | Oliviero Massi | https://www.politesi.polimi.it/handle/10589/186739 |
| Music informatics | Antonacci, Pezzoli, Comanducci | Deep Prior Audio Inpainting | Federico Miotello | |
| Audio signal processing | Bestagini, Buccoli | Low-latency speaker recognition | Francesco Salani | |
| Video forensics | Bestagini, Bonettini | A Data Driven Approach to Deepfake Detection via Feature Analysis Based on Limited Data | Bingyang Hu | |
| Space-time audio | Antonacci, Borrelli, Borra | Beamforming and Speaker Identification through Deep Neural Networks | Matteo Scerbo | https://www.politesi.polimi.it/handle/10589/176160 |
| Music informatics | Sarti, Borrelli | Harmonic complexity estimation of jazz music | Giovanni Agosti | |
| Audio forensics | Antonacci, Borrelli | A model selection method for room shape classification based on mono speech signals | Gabriele Antonacci | https://www.politesi.polimi.it/handle/10589/179887 |
| Audio forensics | Bestagini | Audio splicing detection and localization based on recording device cues | Daniele Ugo Leonzio | https://www.politesi.polimi.it/handle/10589/179424 |
| Audio forensics | Bestagini | Speaker-Independent Microphone Identification via Blind Channel Estimation in Noisy Condition | Antonio Giganti | https://www.politesi.polimi.it/handle/10589/179420 |
| Audio forensics | Bestagini, Borrelli | Synthetic Speech Detection through Convolutional Neural Networks in Noisy Environments | Eleonora Landini | https://www.politesi.polimi.it/handle/10589/179458 |
| Audio forensics | Bestagini, Borrelli, Salvi | Synthetic speech detection based on sentiment analysis | Emanuele Conti | https://www.politesi.polimi.it/handle/10589/177968 |
| Multimedia forensics | Bestagini, Salvi, Borrelli | Audio-video deepfake detection through emotion recognition | Jacopo Gino | https://www.politesi.polimi.it/handle/10589/179037 |
| Audio signal processing | Sarti, Giampiccolo, Bernardini | Parallel Wave Digital Implementations of Nonlinear Audio Circuits | Natoli Antonino | https://www.politesi.polimi.it/handle/10589/178037 |
| Musical Acoustics | Antonacci, Malvermi | Data driven methods for frequency response functions interpolation | Matteo Acerbi | https://www.politesi.polimi.it/handle/10589/170179 |
| Audio forensics | Bestagini, Mandelli | Time-Scaling Detection in Audio Recordings | Michele Pilia | https://www.politesi.polimi.it/handle/10589/173711 |
| Audio forensics | Bestagini, Borrelli | Speech Intelligibility Parameters Estimation Through Convolutional Neural Networks | Mattia Papa | https://www.politesi.polimi.it/handle/10589/173756 |
| Audio forensics | Antonacci | Closed and open set classification of real and AI synthesised speech | Michelangelo Medori | https://www.politesi.polimi.it/handle/10589/170094 |
| Audio forensics | Antonacci | An approach to room volume estimation from single-channel speech signals based on neural networks | Castelnuovo Carlo | https://www.politesi.polimi.it/handle/10589/164749 |
| Audio forensics | Bestagini | Audio Splicing Detection and Localization Based on Acoustic Cues | Capoferri Davide | https://www.politesi.polimi.it/handle/10589/164950 |
| Audio processing | Sarti, Comanducci | Audio frame reconstruction from incomplete observations using Deep Learning techniques | Schils Minh Cédric | https://matheo.uliege.be/handle/2268.2/10138 |
| Audio processing | Sarti, Bernardini | Wave Digital Modeling and Simulation of Nonlinear Electromagnetic Circuits | Giampiccolo Riccardo | https://www.politesi.polimi.it/handle/10589/153994 |
| Audio processing | Sarti, Bernardini | Antiderivative Antialiasing in Nonlinear Wave Digital Filters | Albertini Davide | https://www.politesi.polimi.it/handle/10589/152934 |
| Audio processing | Sarti, Bernardini | Wave Digital Implementation of Nonlinear Audio Circuits based on the Scattering Iterative Method | Proverbio Alessandro | https://www.politesi.polimi.it/handle/10589/152323 |
| Audio processing | Antonacci | A system for super resolution vibrometric analysis through convolutional neural networks | Campagnoli Chiara | https://www.politesi.polimi.it/handle/10589/152613 |
| Audio processing | Antonacci | Development of a low-cost platform for acoustic and vibrometric analysis on lutherie products, with a special focus on the estimation of the elastic parameters of the tonewood | Villa Luca | https://www.politesi.polimi.it/handle/10589/150531 |
| Audio processing | Bestagini | DNN based post-filtering for quality improvement of AMR-WB decoded speech | Gupta Kishan | https://www.politesi.polimi.it/handle/10589/151000 |
| Audio processing | Sarti | Studio sull'implementazione degli algoritmi per il musical instruments ed il sound reinforcement basato su un processore multicore | Aretino Michele | https://www.politesi.polimi.it/handle/10589/139079 |
| Audio processing | Sarti, Bernardini | Modeling nonlinear 3-terminal devices in the wave digital domain | Vergani Alessio Emanuele | https://www.politesi.polimi.it/handle/10589/133184 |
| Forensics | Bestagini | Convolutional and recurrent neural networks for video tampering detection and localization | Cannas Edoardo Daniele | https://www.politesi.polimi.it/handle/10589/149900 |
| Forensics | Bestagini | A study on Bagging-Voronoi algorithm for tampering localization | Cereghetti Corinne Elena | https://www.politesi.polimi.it/handle/10589/141725 |
| Forensics | Bestagini | JPEG-based forensics through convolutional neural networks | Bonettini Nicolò | https://www.politesi.polimi.it/handle/10589/133727 |
| Forensics | Bestagini | Analysis of different footprints for JPEG compression detection | Chen Ke | https://www.politesi.polimi.it/handle/10589/132721 |
| Geophysics | Bestagini | Landmine detection on GPR data employing convolutional autoencoder | Testa Giuseppe | https://www.politesi.polimi.it/handle/10589/142106 |
| Image and video | Marcon, Paracchini | A novel tomographic approach for an early detection of multiple myeloma progression | Andrea Leggio | |
| Image and video | Marcon, Paracchini | Limited angle computed tomography reconstruction with deep learning enhancement | Erbol Kasenov, Girolamo Gerace | |
| Image and video | Marcon | Upper body postural assessment for common dentistry visual aids | Trotta Emilio | https://www.politesi.polimi.it/handle/10589/145563 |
| Image and video | Tubaro | Real-time tracking of electrode during deep-brain surgery | Dilauro Valerio | https://www.politesi.polimi.it/handle/10589/144685 |
| Image and video | Marcon | Analytical estimation of the error on the radius of industrial pipes | Lazzarin Sara | https://www.politesi.polimi.it/handle/10589/144394 |
| Image and video | Marcon | 3D reconstruction from stereo video acquired from odontoiatric microscope | Spatafora Leonardo | https://www.politesi.polimi.it/handle/10589/143780 |
| Image and video | Marcon | Denoising and classification of hyperspectral X-ray images for food quality assessment | Re Marco | https://www.politesi.polimi.it/handle/10589/142922 |
| Image and video | Marcon | A computer vision approach for assessment of dental bracket removal | Behnami Arezoo | https://www.politesi.polimi.it/handle/10589/142362 |
| Image and video | Marcon | Sistema per il rilevamento automatico di contaminanti alimentari basato su immagini iperspettrali | Ramoni Francesco | https://www.politesi.polimi.it/handle/10589/135891 |
| Image and video | Marcon | Postural assessment in dentistry by computer vision | Pignatelli Nicola | https://www.politesi.polimi.it/handle/10589/135030 |
| Multimedia forensics | Bestagini, Mandelli | A Multi-Modal Approach to Forensic Audio-Visual Device Identification | Davide Dal Cortivo | https://www.politesi.polimi.it/handle/10589/175593 |
| Music informatics | Sarti, Bernardini, Borrelli, Mezza | Estimating Harmonic Complexity of Chord Sequences using Transformer Networks | Cecilia Morato | |
| Music informatics | Zanoni, Comanducci | Modeling Harmonic Complexity in Automatic Music Generation using Conditional Variational Autoencoders | Davide Gioiosa | |
| Music informatics | Sarti, Borrelli, Comanducci | Cellular music : a novel music-generation platform based on an evolutionary paradigm | Matteo Manzolini | https://www.politesi.polimi.it/handle/10589/167291 |
| Music informatics | Sarti, Borrelli | Music emotion detection. A framework based on electrodermal activities. | Gioele Pozzi | https://www.politesi.polimi.it/handle/10589/152931 |
| Music informatics | Sarti, Comanducci | Techniques for mitigating the impact of latency in Networked Music Performance (NMP) through adaptive metronomes | Battello Riccardo | https://www.politesi.polimi.it/handle/10589/152923 |
| Music information retrieval | Sarti | Musical instrument recognition: a transfer learning approach | Molgora Andrea | https://www.politesi.polimi.it/handle/10589/147383 |
| Music information retrieval | Sarti | Unsupervised domain adaptation for deep learning based acoustic scene classification | Mezza Alessandro Ilic | https://www.politesi.polimi.it/handle/10589/145573 |
| Music information retrieval | Antonacci | An investigation of piano transcription algorithm for jazz music | Marzorati Giorgio | https://www.politesi.polimi.it/handle/10589/144745 |
| Music information retrieval | Sarti | Automatic playlist generation using recurrent neural network | Irene Rosilde Tatiana | https://www.politesi.polimi.it/handle/10589/142101 |
| Music information retrieval | Sarti | A personalized metric for music similarity using Siamese deep neural networks | Sala Federico | https://www.politesi.polimi.it/handle/10589/139078 |
| Music information retrieval | Sarti | Learning a personalized similarity metric for musical content | Carloni Luca | https://www.politesi.polimi.it/handle/10589/139076 |
| Music information retrieval | Sarti | Beat tracking using recurrent neural network : a transfer learning approach | Fiocchi Davide | https://www.politesi.polimi.it/handle/10589/139073 |
| Music information retrieval | Sarti | Python-based framework for managing a base of complex data for music information retrieval | Avocone Giuseppe | https://www.politesi.polimi.it/handle/10589/138449 |
| Music information retrieval | Sarti | Individual semantic modeling for music information retrieval | Ansidei Pietro | https://www.politesi.polimi.it/handle/10589/137160 |
| Music information retrieval | Sarti | Chord sequences : evaluating the effect of complexity on preference | Foscarin Francesco | https://www.politesi.polimi.it/handle/10589/136448 |
| Music information retrieval | Sarti | Audio features compensation based on coding bitrate | Tavella Maria Stella | https://www.politesi.polimi.it/handle/10589/134607 |
| Musical Acoustics | Antonacci | Modal analysis and optimization of the top plate of string instruments through a parametric control of their shape | Salvi Davide | https://www.politesi.polimi.it/handle/10589/166557 |
| Musical Acoustics | Antonacci, Pezzoli, Malvermi | An approach for Near-field Acoustic Holography based on Convolutional Autoencoders | Olivieri Marco | https://www.politesi.polimi.it/handle/10589/167039 |
| Space-time audio | Antonacci, Borra | A parametric approach to virtual miking with distributed microphone arrays | Marco Langè | |
| Space-time audio | Antonacci, Pezzoli, Borra, Bernardini | A Deep Prior Approach to Room Impulse Response Interpolation | Davide Perini | https://www.politesi.polimi.it/handle/10589/175583 |
| Space-time audio | Antonacci, Comanducci | Interpreting Deep Neural Networks Models for Acoustic Source Localization using Layer-wise Relevance Propagation | Alessandro Montali | https://www.politesi.polimi.it/handle/10589/169239 |
| Space-time audio | Antonacci, Borra, Bernardini | Analysis of Uniform Linear Arrays of Differential Microphones | Bertuletti Ivan | https://www.politesi.polimi.it/handle/10589/154604 |
| Space-time audio | Sarti | A geometrical method of 3D sound spatialization for virtual reality applications | Iamele Jacopo | https://www.politesi.polimi.it/handle/10589/143770 |
| Space-time audio | Antonacci | Convolutional neural networks applied to space-time audio processing applications | Comanducci Luca | https://www.politesi.polimi.it/handle/10589/139077 |
| Space-time audio | Canclini | Denoising in the spherical harmonic domain of sound scenes acquired by compact arrays | Borrelli Clara | https://www.politesi.polimi.it/handle/10589/139075 |
| Space-time audio | Antonacci | Simulazione di sistemi complessi. Case study : l'altoparlante a tromba | Moscara Francesco | https://www.politesi.polimi.it/handle/10589/139074 |
| Space-time audio | Sarti, Bernardini | Steerable differential microphone arrays | Lovatello Jacopo | https://www.politesi.polimi.it/handle/10589/139072 |
| Space-time audio | Antonacci | A plenacoustic approach to sound scene manipulation | Picetti Francesco | https://www.politesi.polimi.it/handle/10589/138430 |
| Space-time audio | Antonacci | Reconstruction of the soundfield in arbitrary locations using the distributed ray space transform | Pezzoli Mirco | https://www.politesi.polimi.it/handle/10589/136447 |
| Space-time audio | Sarti | A method for HRTF personalization : weighted sparse representation synthesis of HRTFs | Zhu Mo | https://www.politesi.polimi.it/handle/10589/135952 |
| Space-time audio | Antonacci | Robust parametric spatial audio processing using beamforming techniques | Milano Guendalina | https://www.politesi.polimi.it/handle/10589/134609 |
| Space-time audio | Antonacci | Estimation of singing voice quality through microphone in air and contact microphone | Landini Roberta | https://www.politesi.polimi.it/handle/10589/134604 |
| Musical Acoustics | Antonacci, Malvermi | Mechanical parameter estimation for vibrometric analysis and development of a low-cost platform for violin making | Federico Simeon | https://www.politesi.polimi.it/handle/10589/170995 |
| Space-time audio | Antonacci, Comanducci | 3D audio with irregular microphone setups using deep learning | Davide Mori | https://www.politesi.polimi.it/handle/10589/175608 |
| Space-time audio | Antonacci, Comanducci | Personalized Sound Zone Generation using Deep Learning | Roberto Alessandri | https://www.politesi.polimi.it/handle/10589/203852 |