Music Information Retrieval for Polyphonic Signals Using Hidden Markov Model

Abstract

Now-a-days, almost all music can be easily accessed via the Internet, but at the same time music can be hard to find. This has created the demand for intelligent music retrieval which allows the user to access the songs that he or she likes. The idea of music information retrieval is basically used in music search systems. In a music search system there will be a huge database of songs. For an efficient music search system, when a particular song in the database is requested, the song has to be correctly identified and retrieved from the database. Music information retrieval for polyphonic music is presented here.

Analysis of Multimedia Teaching Path of Popular Music Based on Multiple Intelligence Teaching Mode

“…e entertaining nature of the multi-intelligence education model also reflects the public's listening needs and consumer psychology. Especially for modern young people who are under great pressure in life, study, and work, the entertainment of multiple intelligent education modes fully meets the spiritual needs of pursuing public stimulation and venting pressure [10,11].…”

“…As mentioned above, if the above conditions are met, the smallest classification surface is the best classification surface. e matching of string similarity can convert the solution problem of optimal classification into the following constraint optimization problem; that is, the calculation function ‖w‖ 2 is satisfied under the restraint in formula (11).…”

“…where sgn () is a symbolic function. In the case of strict analysis of popular music multimedia teaching path in popular music multimedia, it can be processed according to formulas (10)∼( 14); however, when popular music multimedia cannot conduct the analysis of popular music multimedia teaching path, slack variables need to be introduced; namely, the condition is satisfied by adding a slack variable ξ i ≥ 0 in (11), so that (10) can be used.…”