Journal Forum

A Meta-Analysis of High Resolution Audio Perceptual Evaluation - June 2016

Synthetic Reverberator - January 1960

Sound Board: High-Resolution Audio - October 2015

Access Journal Forum

AES E-Library

Automatic Recognition of Musical Instrument Sounds - Further Developments

Document Thumbnail

Discussion on the subject of retrieval of musical data from Internet or multimedia databases, which is carried out now for some time does not successfully reach its final stage of application. There are still many problems related to the subject of automatic recognition of music or musical instrument sounds that cannot be solved easily. Especially important is to find adequate parameters of musical signal based on time and frequency and/or wavelet analyses. Proposed feature vectors were derived on the basis of the constructed databases that contain recorded musical sounds. The presented study shows some methods of automatic identification of musical instruments based both on classical statistical and soft computing approaches. They were used then to classify musical instruments. The results obtained in the carried out investigations are presented and analyzed, leading to some specific and some more general conclusions.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is temporarily free for AES members.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society