Bruce DENBY

Sorbonne University, Electronics, Faculty Member

ESPCI ParisTech, Langevin Institute, Senior Research Scientist

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For 20 years I worked as a High-Energy Physicist, helping to discover the Top Quark and introducing Machine Learning techniques to the physics community. For the past 20 years I've been in Signal, Speech and Image Processing, introducing the idea of a Silent Speech Interface; a Software Radio Broadcast Media Indexing Engine; and an Indoor Localisation technique based on ambient cellphone signals. More recently I've gotten interested in Cosmology again. In addition to my activities as a scientist, I also write fiction with a hard science-fiction edge. Several of my novels are available as ebooks on Amazon.

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Papers by Bruce DENBY

Solution matérielle pour la mise en oeuvre de réseaux de neurones en physique des particules

Preprocessing Hardware for Neural Networks in the H1 Experiment

An educational platform to capture, visualize and analyze rare singing

ABSTRACT This paper presents an early version of an open extendable research and educational plat... more ABSTRACT This paper presents an early version of an open extendable research and educational platform to support users in learning and mastering the different types of rare-singing. The platform is interfaced with a portable helmet to synchronously capture multiple signals during singing in a non-laboratory environment. Collected signals reflect articulatory movements and induced vibrations. The platform consists of four main modules: i) a capture and recording module, ii) a data replay (post processing) module, iii) an acoustic auto adaptation learning module, iv) and a 3D visualization sensory motor learning module. Our demo will focus on the first two modules. The system has been tested on two rare endangered singing musical styles, the Corsican “Cantu in Paghjella”, and the Byzantine hymns from Mount Athos, Greece. The versatility of the approach is further demonstrated by capturing a contemporary singing style known as “Human Beat Box.”

Capturing, Analyzing, and Transmitting Intangible Cultural Heritage with the i-Treasures Project

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Special Issue: Silent Speech Interfaces

Une architecture électronique temps réel pour les réseaux connexionnistes en physique des hautes énergies

TDNN Approach to Measuring Raindrop Sizes and Velocities

Perspectives in Neural Computing, 1998

Sparse channelizer for FPGA-based simultaneous multichannel DRM30 receiver

IEEE Transactions on Consumer Electronics, 2015

ABSTRACT

3rd Workshop on Neural Networks : from Biology to High-energy Physics

Benayoun, M., Ph. Leruste, JL Narjoux, R. Petronzio, Prompt meson production at large p, Bhadra, S., see Kennett

Developing a High-Performance Visual Speech Recognition System for a Practical Silent Speech Interface Based on Vocal Tract Imaging

Training and

SIGMA Lab., Pierre & Marie Curie Univ., Paris, France

Tianjin Univ., Tianjin, China

An open source speech synthesis module for a visual-speech recognition system

Hardware solutions for implementation of neural networks in High Energy Physics triggers

by Bertrand Granado, Bruce DENBY, and jean-christophe Prévotet

The European Symposium on Artificial Neural Networks, 2002

Analyse du conduit vocal par imagerie ultrasonore

ABSTRACT

First Report on ICH Capture and Analysis - FP7 i-Treasures Deliverable 3.1

First Version of ICH Capture and Analysis Modules - FP7 i-Treasures Deliverable 3.2

Capturing the Intangible: An Introduction to the I-Treasures Project

Cultural expression is not limited to architecture, monuments or collections of artifacts. It als... more Cultural expression is not limited to architecture, monuments or collections of artifacts. It also includes fragile intangible live expressions, which involve knowledge and skills such as music, dance, singing, theatre, human skills and craftsmanship. These manifestations of human intelligence and creativeness constitute our Intangible Cultural Heritage (ICH), a basic factor of local cultural identity and a guaranty for sustainable development. In this paper, we briefly introduce the i-Treasures research project, which aims at developing an open and extendable platform to provide access to ICH resources, enable knowledge exchange and contribute to the transmission of rare know-how. The project goes beyond digitization of cultural content; it creates new knowledge that has never been analysed or studied before through novel methodologies for the analysis and modelling of ICH based on multisensory technology. High-level semantics are extracted enabling researchers to identify possible implicit or hidden correlations between different ICH expressions or interpretation styles and study the evolution of a specific ICH. Four different ICH cases are studied: traditional songs, dance interactions, pottery and contemporary music composition Combining conventional learning procedures and sensorimotor learning through an interactive 3D environment, i-Treasures breaks new ground in education and knowledge transfer of ICH.

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Solution matérielle pour la mise en oeuvre de réseaux de neurones en physique des particules