Fristrup Kurt M.

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Fristrup
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Kurt M.
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  • Technical Report
    Marine animal SOUND database
    (Woods Hole Oceanographic Institution, 1991) Watkins, William A. ; Fristrup, Kurt M. ; Daher, Mary Ann
    The Marine Animal SOUND Database system encompasses (1) descriptive text databases cataoging the WHOI collection of underwater sound recordings from marine animal, (2) sets of files of digital sound sequences, (3) text database organizing the digital sound sequences, and (4) software for analysis, display, playback, and export of selected sound files. The text databases index and sort the information on the sounds. The digital sound files are accessed directly from the text record, analyzed on screen, listened to, and compared or exported as desired. These databases provide comprehensive means for quantitative analyses and statistical comparisons of marine animal vocalizations. The objective has been to develop basic tools for the study of marine animal sounds. The text database for cataloging the collection of recordings provides convenient sorting and selection of sounds of interest. Then, as specific sequences are digitized from these recordigs, they become part of a second database system that manages these sound data. Once a digital sound is part of the database, several tools are available for interactive spectrogram display, sound playback, statistical feature extraction, and export to other application programs.
  • Technical Report
    Marine animal sound classification
    (Woods Hole Oceanographic Institution, 1993-10) Fristrup, Kurt M. ; Watkins, William A.
    Software was developed to measure characteristics of marine animal sounds (AcouStat). These measurements proved effective for classifying sounds in several contexts: identifying species, quantifying the repertoire of a single species, and identifying individuals. The sound measures included statistics for aggregate bandwidth, intensity, duration, amplitude modulation, frequency modulation, center frequency, and interactions among these variables. Classification analysis based on these measures suggests they adequately characterize the variability of bioacoustic signals for many problems. Correct classification to species was as high as 85%, and correct classification of dolphin whistles to individual was 90%.
  • Technical Report
    VOICE - a spectrogram computer display package
    (Woods Hole Oceanographic Institution, 1990-07) Martin, Ann ; Catipovic, Josko A. ; Fristrup, Kurt M. ; Tyack, Peter L.
    A real-time spetrogram instrument has been developed to provide an inexpensive and field-portable instrument for the analysis of animal sounds. The instrument integrates a computer graphics display package with a PC-AT computer equipped with an A/D board and a digital signal processing board. It provides a real-time spectrogram display of frequencies up to 50kHz in a variety of modes: a running display, a signal halted on screen, successive expanded views of the signal. The signal amplitude may also be displayed. Portions of the scrolled data may be saved to disk file for future viewing, or as part of a database collection. The screen display may be manipulated to adapt to special needs. Program source listings are included in the text.
  • Technical Report
    Characterizing acoustic features of marine animal sounds
    (Woods Hole Oceanographic Institution, 1992-01) Fristrup, Kurt M. ; Watkins, William A.
    Software tools were designed to characterize the acoustic features of marine animal sounds. These have resulted in a set of calculated measurements that summarize particular aspects of sound sequences. The specificity of these measurements was enhanced by adjusting calculations to compensate for ambient noise. The sound measures included statistics for Aggregate Bandwidth, Intensity, Duration, Amplitude Modulation, Frequency Modulation, Short-term Bandwidth, Center Frequency, and Amplitude Frequency Interaction. The efficacy of noise compensation was tested for each statistic. Then, the sound measures were tested on a subset of 200 sequences of marine animal sounds, including sequences from 20 species: six baleen whales, 13 toothed species, and one seal. The statistics were reviewed for each species and a graphical comparison of all species was generated using principal components analysis. Preliminary results confirm that such sounds can be classified by means of relatively simple statistical algorithms, and we are encouraged to continue toward a system for automatic classification of marine animal sounds.
  • Technical Report
    SOUND database of marine animal vocalizations : structure and operations
    (Woods Hole Oceanographic Institution, 1992-08) Watkins, William A. ; Fristrup, Kurt M. ; Daher, Mary Ann ; Howald, Terrance J.
    The SOUND database system for marine animal vocalizations has been updated to include changes in the structure and operations that have evolved with use. These include more convenient operations, greater flexibilty in analysis routines, and a revised database structure. The formats for data sorting and indexing, database structure, and analysis routines have developed into a convenient research tool. This report is a revision of the earlier operating manual for the SOUND databases (Watkins, Fristrup, and Daher 1991.) The interactive databases that comprise the SOUND system provide comprehensive means for quantitative analyses and statistical comparisons of marine animal vocalizations. These SOUND databases encompass (1) descriptive text databases cataoging the WHOI collection of underwater sound recordings of marine animals, (2) sets of files of digital sound sequences, (3) text databases organizing the digital sound cuts, and (4) software for analysis, display, playback, and export of selected sound files. The text databases index and sort the information about the sounds, and the digital sound cut files are accessed directly from the text record. From the text database, the sound cut data may be analyzed on screen, listened to, and compared or exported as desired. The objective of this work has been the development of a basic set of tools for the study of marine animal sound. The text databases for cataloging the recordings provide convenient sorting and selection of sounds of interest. Then, as specific sequences are digitized from these recordings, they become part of another database system that manages these acoustic data. Once a digital sound is part of the organized database, several tools are available for interactive spectrographic display, sound playback, statistical feature extraction, and export to other application programs.
  • Technical Report
    Software tools for acoustic database management
    (Woods Hole Oceanographic Institution, 1992-01) Fristrup, Kurt M. ; Daher, Mary Ann ; Howald, Terrance J. ; Watkins, William A.
    Digital archiving of bioacoustic data provides both curatorial and scientific benefits. To realize these benefits, key system requirements must be satisfied. This report discusses these requirements, and describes the software tools developed by the WHOI bioacoustic laboratory to maintain and utilize an archive of digitized biological sounds. These tools are written in standard C code, and are designed to run on PC-compatible microcomputers. Both the usage and structure of these programs are described in relation to the SOUND database of marine animal sounds. These tools include software for analog-to-digital conversion, text header maintenance, data verification and interactive spectrographic review. Source code listings are supplied.