• DocumentCode
    388555
  • Title

    The GRASP sound separation system

  • Author

    Weintraub, Mitchel

  • Author_Institution
    Fairchild Laboratory, Palo Alto, CA
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    Any speech recognition system designed to function in environments with other sounds present must deal with extraneous sounds. A hierarchical separation and recognition system is proposed as a computational model of how the auditory system processes sounds. The GRASP system (for Grouping Research on Auditory Sound Processing) is a part of that overall framework for sound separation. GRASP is a computational model of the data-driven aspects of auditory separation. It uses the physical cues present in the acoustic signal (such as pitch and onsets) to decide how many sounds are present and of what each sound consists. Its initial use is to separate simultaneously spoken digits from different speakers.
  • Keywords
    Acoustic noise; Auditory system; Computational modeling; Humans; Loudspeakers; Noise level; Signal processing; Speech enhancement; Speech processing; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172466
  • Filename
    1172466