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Engineering Design was founded in 1980 to address problems in instrumentation and measurement, physical acoustics, and digital signal analysis.

  • Engineering Design is the developer of the SIGNALtm family of sound analysis software, including SIGNAL, Real-Time Spectrogram (RTS), Event Detector, Event Analyzer, and Experiment Maker.

  • SIGNAL is the standard for research in bioacoustics for its scientific accuracy, extensive tools for measurement, analysis, synthesis and modeling, programmability and thorough documentation.
  • SIGNAL applications include bioacoustics, sound and vibration measurement, sound modeling and synthesis, perceptual cognition, human auditory testing, and neurophysiological experimentation.

  • SIGNAL is used at over 180 laboratories worldwide.

  • Over 200 scientific papers have been published using SIGNAL on topics including acoustic behavior, evolution of communication, cognitive science, neurophysiology of production and perception and wildlife conservation and management. Read about the outstanding research done with SIGNAL.

Contact Engineering Design to discuss your challenging problems in bioacoustic analysis. Thirty years of experience are available to help solve them!

    SIGNAL in Science

SIGNAL has been used to analyze evolutionary call behavior of the male Túngara frog. The Michael Ryan Lab at the University of Texas studies the effect of sexual preference on the communication system, examining the advantages and costs of different call behaviors. Read more

William Clapham of the U.S. Department of Agriculture uses SIGNAL to measure the forage consumed by free-grazing beef cattle. SIGNAL automatically detects, classifies, and quantifies streaming acoustic recordings of biting and chewing sounds with an accuracy of 95% relative to trained human observers. Read more

Vincent Janik at the University of St. Andrews showed that bottlenose dolphins produce individual signature whistles that convey identity information independent of the callerís voice features. He used SIGNAL to extract spectral behavior from recorded calls, then synthesize new "voice-free" playback calls based on spectral behavior alone. Read more