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Luca Cristoforetti

  • Phone: +39 0461314558
  • FBK Povo
Short bio

Luca Cristoforetti was born on June 19, 1975. He received a Diploma Universitario Degree in Computer Science Engineering in 1998 from the University of Trento, Italy. He received a Bachelor Degree in Information and Organization Engineering from the University of Trento in 2002.

Thesis topic was on software engineering, working in the Reverse Engineering group at ITC-irst (now FBK-irst). In the same year he joined the SHINE group with the role of technician, collecting audio databases and developing software components. Later he became technologist, expanding his knowledge in the audio field.

In the years he has been actively involved in almost all the European projects of the unit, ranging from data collection to system architecture responsible and work package leader.

Research interests
Java and C/C++ programming ROS JavaScript XML coding multi-channel audio data collection audio hardware setup technical support
Publications
  1. Paolo Coletti; Luca Cristoforetti; Marco Matassoni; Maurizio Omologo; Piergiorgio Svaizer; Petra Geutner; Frank Steffens,
    A speech driven in-car assistance system,
    Intelligent Vehicles Symposium,
    IEEE,
    2003
    , pp. 622-
    626
    , (Intelligent Vehicles Symposium,
    09/06/2003 - 11/06/2003)
  2. Luca Cristoforetti; Marco Matassoni; Maurizio Omologo; Piergiorgio Svaizer,
    Use of parallel recognizers for robust in-car speech interaction,
    IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2003),
    IEEE,
    2003
    , pp. 320-
    323
    , (IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2003),
    Hong Kong, China,
    04/2003)
  3. Luca Cristoforetti; Marco Matassoni; Maurizio Omologo; Piergiorgio Svaizer,
    Use of parallel recognizers for robust in-car speech interaction,
    This paper refers to an activity under way at the speech recognition technology level for the development of a hands-free dialogue interaction system in the car environment. The use of a set of HMM recognizers, running in parallel, is being investigated in order to ensure low complexity, modularity, fast response, and to allow a real-time reconfiguration of the language models and grammars according to the policy indicated by natural language understanding and dialogue manager modules. A corpus of spontaneous speech interactions was collected using the Wizard-of-Oz method in a real driving situation with a microphone placed far from the driver. The use of parallel recognition units, each specialized on a given geographical domain, was explored using the resulting real corpus. Experiments show the advantage of selecting the recognized sentence according to the maximum likelihood among the active units when compared to the use of a single language model based on a very large vocabulary.,
    2003
  4. Luca Cristoforetti; Marco Matassoni; Maurizio Omologo; Piergiorgio Svaizer; E. Zovato,
    Un riconoscitore vocale per la telefonia viva-voce in automobile,
    Multimodalità e Multimedialità nella Comunicazione. Atti delle XI Giornate di Studio del Gruppo di Fonetica Sperimentale (A.I.A.),
    2001
    , pp. 209-
    214
  5. Luca Cristoforetti; Marco Matassoni; Maurizio Omologo; Piergiorgio Svaizer; Enrico Zovato,
    Annotation of a multichannel noisy speech corpus,
    International Conference on Language Resources and Evaluation (LREC 2000),
    2000
    , pp. 1547-
    1550
    , (International Conference on Language Resources and Evaluation (LREC 2000),
    Athens, Greece,
    30/05/2000 - 02/06/2000)
  6. Luca Cristoforetti; Maurizio Omologo,
    Annotazione dei file raccolti nel progetto SpeechDatCar/VODIS-II,
    Questo documento è stato redatto per fornire un riferimento in fase di annotazione del materiale vocale raccolto nell`ambito dei progetti SpeechDatCar e VODIS-II. Il seguente documento è il frutto della standardizzazione delle convenzioni di annotazione decise durante il corso dell`anno 1999. Si vuole innanzitutto descrivere la procedura di elaborazione dei dati, a partire da quelli memorizzati nelle piattaforme PltM (mobile) e PltF (fissa) utilizzate durante la raccolta del database, fino ad arrivare a quelli risultanti dall`annotazione di ciascun file. Si riscontra inoltre una notevole eterogeneità nelle informazioni da includere nei file di documentazione del database risultante. Tali informazioni dovrebbero essere inserite seguendo delle indicazioni fornite attraverso deliverable prodotti nell`ambito dei suddetti progetti; tutavia, tali indicazioni risultano spesso ambigue. Nel seguito del documento si vuole ridurre per quanto possibile tali ambiguità, rendendo in questo modo più uniforme la documentazione finale risultante.,
    2000
  7. Marco Matassoni; Maurizio Omologo; Luca Cristoforetti; Diego Giuliani; Piergiorgio Svaizer; Edmondo Trentin; E. Zovato,
    Some results on the development of a hands-free speech recognizer for car-environment,
    IEEE Workshop on Automatic Speech Recognition and Understanding,
    1999
    , (IEEE Workshop on Automatic Speech Recognition and Understanding,
    Keystone, US,
    12/1999)
  8. Maurizio Omologo; Luca Cristoforetti,
    The Italian in-car database: design and contents,
    1999
  9. G. Antoniol; R. Fiutem; Luca Cristoforetti,
    Design Pattern Recovery in Object-Oriented Software,
    Proceedings of the Sixth International Workshop on Program Comprehension [IWCP 98],
    IEEE,
    1998
    , pp. 153-
    160
  10. A. Antoniol; F. Calzolari; Luca Cristoforetti; R. Fiutem; G. Caldiera,
    Adapting Function Points to Objects Oriented Information Systems,
    Proceedings of 10th International Conference on Advanced Information Systems Engineering [CAISE-98],
    Springer,
    1998
    , pp. 59-
    76

Pages