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.

Authors: Monti, Giuliano; Sandler, Mark B.
Affiliation: Department of Electronic Engineering, Queen Mary University of London, Mile End, London, United Kindom
AES Convention: 112 (April 2002) Paper Number: 5527
Publication Date: April 1, 2002
Subject: Musical Acoustics

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.