SLAM v1.0 for Windows: a Simple PC-Based Tool for Segmentation and Labeling (Contributo in atti di convegno)

Type
Label
  • SLAM v1.0 for Windows: a Simple PC-Based Tool for Segmentation and Labeling (Contributo in atti di convegno) (literal)
Anno
  • 1997-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cosi P. (1997)
    SLAM v1.0 for Windows: a Simple PC-Based Tool for Segmentation and Labeling
    in ICSPAT-97, International Conference on Signal Processing Applications & Technology, San Diego, CA, USA, September 14-17, 1997
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cosi P. (literal)
Pagina inizio
  • 1714 (literal)
Pagina fine
  • 1718 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Cosi P. SLAM v1.0 for Windows: a Simple PC-Based Tool for Segmentation and Labeling Proceedings ICSPAT-97, International Conference on Signal Processing Applications & Technology San Diego, CA, USA September 14-17, 1997 pp. 1714-1718 http://www2.pd.istc.cnr.it/Papers/PieroCosi/cp-ICSPAT97.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www2.pd.istc.cnr.it/Papers/PieroCosi/cp-ICSPAT97.pdf (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 1880 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISTC CNR, UOS Padova (literal)
Titolo
  • SLAM v1.0 for Windows: a Simple PC-Based Tool for Segmentation and Labeling (literal)
Abstract
  • The first official release of SLAM [1], [2], a semi-automatic segmentation and labeling environment, especially developed for Windows©-based1 Personal Computers, is described. The system was designed with the aim of being extremely user-friendly and supporting speech scientists in assessing the very heavy and time-consuming task of segmenting and labeling a big amount of speech material such as that caused by the tremendous spread of new and always bigger speech data-bases. SLAM is based on the Multi-Level Segmentation theory [3] and the segmentation process works with various spectral representations of speech. (FFT, LPC... ), even if it was especially created for an auditory-based representation [4]. (literal)
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