Ankara, Turkey
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SigASA®: Audio Signal Analysis

SigASA has been designed and developed by Signalton Technology as a suite of audio signal analysis algorithms. SigASA has been written in Octave (≡Matlab), in C++ for PC and in embedded C/C++ for DSP and has been run in real time on SigMote. The suite can be used for temporal and spectral signal analysis, feature extraction, machine learning and pattern recognition based sound classification, sound source identification, and speech recognition. The suite has performed successfully for acoustic environment classification and electric motor sound testing.