Researcher
  • Phone: +39 0461314564
  • FBK Povo
Short bio

Piergiorgio Svaizer received his degree in Electronic Engineering from the University of Padova in 1989. In 1991 he joined ITC-IRST (now FBK-IRST) where he has been working in the Speech Recognition Group and then in the SHINE research unit. His current research interests include digital signal processing, microphone arrays, automatic speech recognition in noisy and reverberant environments.

Research interests
digital signal processing Microphone arrays Acoustic Scene Analysis Automatic speech recognition in noisy and reverberant environments
Publications
  1. Fakhry, Mahmoud; Svaizer, Piergiorgio; Omologo, Maurizio,
    Audio Source Separation in Reverberant Environments Using β -Divergence-Based Nonnegative Factorization,
    in «IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING»,
    vol. 25,
    n. 7,
    2017
    , pp. 1462 -
    1476
  2. Fakhry, M.; Svaizer, P.; Omologo, M.,
    Estimation of the spatial information in Gaussian model based audio source separation using weighted spectral bases,
    Proceedings of EUSIPCO 2016,
    European Association for Signal Processing (EURASIP),
    2016
    , (24th European Signal Processing Conference (EUSIPCO 2016),
    Budapest, Hungary,
    28 August - 2 September 2016)
  3. Ravanelli, Mirco; Svaizer, Piergiorgio; Omologo, Maurizio,
    Realistic Multi-Microphone Data Simulation for Distant Speech Recognition,
    Proceeding of Interspeech 2016,
    2016
    , (Interspeech 2016,
    San Francisco,
    8-12/9/2016)
  4. Fakhry M.; Svaizer P.; Omologo M.,
    Audio source separation usinga redundant library of source spectral bases for nonnegative tensor factorization,
    Proceedings of ICASSP 2015,
    2015
  5. Zwyssig E.; Ravanelli M.; Svaizer P.; Omologo M.,
    A multi-channel corpus for distant-speech interaction in presence of known interferences,
    Proceedings of ICASSP 2015,
    2015
  6. Jalalvand, Shahab; Falavigna, Giuseppe Daniele; Matassoni, Marco ; Svaizer, Piergiorgio ; Omologo, Maurizio,
    Boosted acoustic model learning and hypotheses rescoring on the CHiME-3 task,
    Proceedings of 2015 IEEE Workshop on Automatic Speech Recognition and Understanding,
    2015
    , pp. 409-
    415
    , (IEEE Workshop on Automatic Speech Recognition and Understanding,
    Scottsdale (Arizona), US,
    December 13-17, 2015)
  7. Alessio Brutti;Mirco Ravanelli;Piergiorgio Svaizer;Maurizio Omologo,
    A speech event detection and localization task for multiroom environments,
    2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA),
    2014
    , pp. 157-
    161
    , (4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA),
    Nancy,
    12-14 May 2014)
  8. M. Matassoni; A. Brutti; P. Svaizer,
    Acoustic modeling based on Early-to-Late Reverberation Ratio for robust ASR,
    International Workshop on Acoustic Signal Enhancement,
    2014
    , pp. 264-
    268
    , (International Workshop on Acoustic Signal Enhancement (IWAENC 2014),
    Antibes,
    September 8th – 11th 2014)
  9. Fakhry, M.; Svaizer, P.; Omologo, M.,
    Reverberant audio source separation using partially pre-trained non-negative matrix factorization,
    Proceedings of IWAENC 2014,
    2014
    , (14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014),
    Antibes - Juan les Pins, France,
    September 8th – 11th 2014)
  10. A. Brutti; M. Omologo; P. Svaizer,
    in «SIGNAL PROCESSING»,
    vol. 93,
    n. 4,
    2013
    , pp. 784 -
    796

Pages