The paper presents a method for evaluating similarity of temporal amplitude envelope of violin sounds. The experienced violinmakers are able to separate good sounding from bad sounding violins just by regarding the envelope of individual sounds. The contours of two-sided envelopes of individual open-string sounds are considered as images. Four uncorrelated visual descriptors are used to form a feature vector characterizing image shape. Individual distance measures are selected for each feature. The similar objects are grouped using k-means method. Violin sounds from AMATI database have been used in experiments.
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.
To be notified of new comments on this paper you can
subscribe to this RSS feed.
Forum users should login to see additional options.
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.
