Stefano Fasciani

Stefano Fasciani
University of Oslo · Department of Musicology

PhD

About

30
Publications
20,266
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
76
Citations
Introduction
Stefano Fasciani is an Associate Professor at the Department of Musicology of the University of Oslo. Stefano does research in Sound and Music Computing, Audio Digital Signal Processing, Real-Embedded Systems, Human-computer Interaction.

Publications

Publications (30)
Conference Paper
Full-text available
Synthesis algorithms often have a large number of adjustable parameters that determine the generated sound and its resultant psychoacoustic features. The relationship between parameters and timbre is important for end users, but it is generally unknown, complex, and difficult to analytically derive. In this paper we introduce a strategy for the ana...
Conference Paper
Full-text available
Expressive sonic interaction with sound synthesizers requires the control of a continuous and high dimensional space. Further, the relationship between synthesis variables and timbre of the generated sound is typically complex or unknown to users. In previous works, we presented an unsupervised mapping method based on machine listening and machine...
Conference Paper
Full-text available
This paper provides figures and metrics over twenty years of New Interfaces for Musical Expression conferences, which are derived by analyzing the publicly available paper proceedings. Besides presenting statistical information and a bibliometric study, we aim at identifying trends and patterns. The analysis shows the growth and heterogeneity of th...
Article
Full-text available
Recent methodologies for audio classification frequently involve cepstral and spectral features, applied to single channel recordings of acoustic scenes and events. Further, the concept of transfer learning has been widely used over the years, and has proven to provide an efficient alternative to training neural networks from scratch. The lower tim...
Preprint
Full-text available
Access to informative databases is a crucial part of notable research developments. In the field of domestic audio classification, there have been significant advances in recent years. Although several audio databases exist, these can be limited in terms of the amount of information they provide, such as the exact location of the sound sources, and...
Article
Expressive sonic interaction with sound synthesizers requires the control of a continuous and high dimensional space. Further, the relationship between synthesis variables and timbre of the generated sound is typically complex or unknown to users. In previous works, we presented an unsupervised mapping method based on machine listening and machine...
Presentation
Full-text available
##### Video Presentation: https://youtu.be/GZCueJeg168 ##### ##### Presentation Resources: https://stefanofasciani.com/nbcmm.html ##### Playing music over the network is among the most demanding and challenging Internet applications due to tight timing constraints. Researchers and artists has been exploring this media for more than two decades. Th...
Conference Paper
Full-text available
Current methodologies explored for audio classification, particularly multi-channel audio, commonly involve the use of individual deep learning approaches. In this paper, we look at domestic multi-channel audio classification through a comparison of various combinations of existing pre- trained Neural Network (NN) models, with Support Vector Machin...
Conference Paper
Full-text available
Artificial intelligence based on deep learning has gained popularity in a broad range of applications. Software libraries and frameworks for deep learning provide developers with tools for fast deployment, hiding the algorithmic complexity for training and inference of large neural networks. These frameworks allow mitigating the computational compl...
Conference Paper
Recent approaches to audio classification are typically developed for single channel recordings of acoustic events. In contrast, approaches to acoustic classification of multichannel recordings of domestic audio have not been thoroughly investigated, especially for household recorded acoustic scenes. In this paper, we consider domestic multi-channe...
Conference Paper
Full-text available
In this paper we introduce a hardware platform to proto- type interfaces of demanding sonic interactive systems. We target applications featuring a large array of analog sensors requiring data acquisition and transmission to computers at fast rates, with low latency, and high band- width. This work is part of an ongoing project which aims to provid...
Conference Paper
Full-text available
This paper presents a system to tangibly manipulate the virtual patching cords in graphical programming environments , such as Max and Pure Data. The system includes a physical interface, a communication protocol, and a software library, providing physical extension of the graphical programming paradigm. The interface includes a patch bay with conn...
Conference Paper
Full-text available
This article introduces a granular synthesis algorithm in which grains of sound are processed in the frequency domain and combined at spectral level. In particular, each grain contributes to the sound synthesis with its magnitude spectrum only. Phase is reconstructed using spectrogram inversion techniques which support real-time computation. With t...
Chapter
Full-text available
In this chapter, we discuss a computational method that supports the design and assessment of e-commerce web interfaces by finding the optimal placement of interactive elements. The definition of optimal placement is context-specific and it aims at maximizing measurable aspects of the user experience. We compute the visual model of the web interfac...
Article
Full-text available
In this article we describe a user-driven adaptive method to control the sonic response of digital musical instruments using information extracted from the timbre of the human voice. The mapping between heterogeneous attributes of the input and output timbres is determined from data collected through machine-listening techniques and then processed...
Article
Full-text available
In this article we describe a user-driven adaptive method to control the sonic response of digital musical instruments using information extracted from the timbre of the human voice. The mapping between heterogeneous attributes of the input and output timbres is determined from data collected through machine-listening techniques and then processed...
Conference Paper
Full-text available
In this paper, we present a system that supports the design of web graphical user interface by finding the optimal placement of interactive elements. The definition of optimal placement is context specific; it aims at maximizing measurable aspects of the user experience, and it is derived using expert knowledge embedded in the system, which is base...
Conference Paper
Full-text available
We propose an approach to insert physical objects in audio digital signal processing chains, filtering the sound with the acoustic impulse response of any solid measured in real-time. We model physical objects as a linear time-invariant system, which is used as an audio filter. By interacting with the object or with the measuring hardware we can dy...
Article
Full-text available
Welcome to this Special Issue of Array: Proceedings of Si15, the 2nd International Symposium on Sound and Interactivity. The articles in the present issue originated in the Si15 Soundislands Festival, which was held in Singapore 18–23 August 2015. The festival events included five invited artist performances, two scientific keynotes and two days o...
Conference Paper
Full-text available
Openings on walls, such as windows or doors, facilitate the propagation of external noises to interior spaces. Active noise control is a promising technique for the reduction of low frequency noise propagating through such openings. To preserve the full functionality of the opening, especially for natural ventilation, it is required to minimize the...
Conference Paper
Full-text available
Information about the human spoken and singing voice is conveyed through the articulations of the individual's vocal folds and vocal tract. The signal receiver, either human or machine, works at different levels of abstraction to extract and interpret only the relevant context specific information needed. Traditionally in the field of human machine...
Conference Paper
Full-text available
Sound generators and synthesis engines expose a large set of parameters, allowing run-time timbre morphing and exploration of sonic space. However, control over these high-dimensional interfaces is constrained by the physical limitations of performers. In this paper we propose the exploitation of vocal gesture as an extension or alternative to trad...

Network

Cited By

Projects

Project (1)
Project
To create a biannual event for sharing and showcasing innovative and exciting music and sound art, both research and practice, in Singapore, that connects people between the local scene and internationally. http://soundislands.com/