This paper illustrates a signal adaptive analysis technique to transcribe monophonic sounds. Unlike other models, which segment audio relying on the onset time-domain analysis, this model principally exploits pitch information. Pitch is locked after detection. The structure of a musical note, i.e. harmonic frequency structure and time-envelope model, is exploited to segment and transcribe the signal. The system is inspired by the Integrated Processing and Undestanding of Signals system (IPUS) where abstract explanation and best front-end configuration are iteratively searched. Onsets and pitch are searched in two different domains and integrated with the system knowledge to give a coherent interpretation of the signal. The system transcribes with success from fast trumpet riffs to long sustained violin vibrato.
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