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A Thousand Years Piano Midi Downloadl: The Benefits and Challenges of Playing the Song on Piano



As long as deep in the heart,The soul of a Jew yearns,And forward to the EastTo Zion, an eye looksOur hope will not be lost,The hope of two thousand years,To be a free nation in our land,The land of Zion and Jerusalem.




A Thousand Years Piano Midi Downloadl



Hatikva expresses the hope of the Jewish people, that they would someday return to the land of their forefathers as prophesied in the Hebrew Bible. The Jewish people were exiled from Israel in 70 C.E. by the Roman army led by Titus who destroyed the Temple in Jerusalem (see Brief History of Israel). During the two thousand years of exile, the Jewish people said special daily prayers for return to Israel while facing the East in the direction of Jerusalem. They celebrated the holidays according to Hebrew seasons and calendar. Zion is synonymous with Israel and Jerusalem.


In recent years, with the development of deep neural network becoming more and more mature, especially after the proposal of generative confrontation mechanism, academia has made many achievements in the research of image, video and text generation. Therefore, scholars began to use similar attempts in the research of music generation. Therefore, based on the existing theoretical technology and research work, this paper studies music production, and then proposes an intelligent music production technology based on generation confrontation mechanism to enrich the research in the field of computer music generation. This paper takes the music generation method based on generation countermeasure mechanism as the research topic, and mainly studies the following: after studying the existing music generation model based on generation countermeasure network, a time structure model for maintaining music coherence is proposed. In music generation, avoid manual input and ensure the interdependence between tracks. At the same time, this paper studies and implements the generation method of discrete music events based on multi track, including multi track correlation model and discrete processing. The lakh MIDI data set is studied. On this basis, the lakh MIDI is pre-processed to obtain the LMD piano roll data set, which is used in the music generation experiment of MCT-GAN. When studying the multi track music generation based on generation countermeasure network, this paper studies and analyzes three models, and puts forward the multi track music generation method based on CT-GAN, which mainly improves the existing music generation model based on GAN. Finally, the generation results of MCT-GAN are compared with those of Muse-GAN, so as to reflect the improvement effect of MCT-GAN. Select 20 auditees to listen to the generated music and real music and distinguish them. Finally, analyze them according to the evaluation results. After evaluation, it is concluded that the research effect of multi track music generation based on CT-GAN is improved. 2ff7e9595c


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