| With the development of Internet, more and more people hope to search the things interesting them, such as music and pictures, which raises the requirement for multi-media search. Audio retrieval is a new focus after image retrieval in the field of Content-Based Retrieval.It has different factors which affect a music play, and the standard for estimating could differ from the skills of handling rhythm, expressive force, sense of music, style and etc. The process of simulating the estimation through a computer is actually to find out the symbolic logic relations between the factors which have influences on music play and the index of estimation.(1) Studies the relevant theories of sound signal, laying the foundation for future treatment of music signals and system realization.(2) Studies the fundamental characteristics of music. Realizes a pitch period measurement solution based on the rhyme of the music signal and giving priority to the expression of music rhyme and pitch measurement.(3) Adopts similarity-matching method based on dynamic programming to retrieve music by describing and analyzing the Content-based Music Retrieval arithmetic and music similarity calculation with the combination of the expression of the music features and the error analysis of humming input.(4) Offers the framework of Web-based Query by Humming system and designs the database of the music character. Realizes the Web-based Query by Humming system, analyse the experiment result which validates the the feasibility and effeetiv eness of the system.(5) It states the principle of an NN, and then finds out those elements that affect playing including musical notes; rhyme, time, tune, melody and so on.(6) Afterwards, has designed the NN model according to the estimation index which we can get with assistance from a piano teacher and his students to complete the practice of an NN.(7) Introduces briefly a actuality of the piano teaching software nowadays to design a framework for this educational program. |
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