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====== Example Project Title ====== | Authors | Steve Jobs and Bill Grates | | Affiliation | Apple and Michaelsoft | | Code | [[https://github.com/bmcfee/librosa|Github Link]] | A short abstract could go here. ===== - Title of a section ===== A section asd test Po-Sen ==== - Title of a subsection ==== Etc. etc. Some math: $\beta = \sum_{i = 1}^N \sqrt{\alpha_i^2 - G^2}$ sdasd ==== - Title of a subsection ==== Etc. etc. Some math: $\beta = \sum_{i = 1}^N \sqrt{\alpha_i^2 - G^2}$ ==== - Title of a subsection ==== Etc. etc. Some math: $\beta = \sum_{i = 1}^N \sqrt{\alpha_i^2 - G^2}$ Separation with codebook Another possible extension involves the introduction of a pre-learnt dictionary in the separation process. As we know, the supervised learning algorithms can usually lead to better result in the machine learning problems. Following the intuition mentioned above, to incorporate the information from the spoken lyrics, we proposed a dictionary based model as the extension of RPCA framework. The basic steps are as follows:
