Automatic Recognition of Musical Instrument Sounds - Further Developments
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.
Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.