Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For the task of semi-automatic music transcription,  extended our framework for shift-variant non-negative matrix deconvolution (svNMD) to work with multiple templates per instrument and pitch. A k-means clustering based learning algorithm is proposed that infers the templates from the data based on the provided user information.  experimentally explored the maximum achievable transcription accuracy of the algorithm and evaluated the prospective performance in a realistic setting. The results shod a clear superiority of the Itakura-Saito divergence over the Kullback-Leibler divergence and a consistent improvement of the maximum achievable accuracy when each pitch is represented by more than one spectral template.
['Holger Kirchhoff', 'Simon Dixon', 'Anssi Klapuri']
I am writing a research paper on a idea MULTI-TEMPLATE SHIFT-VARIANT NON-NEGATIVE MATRIX DECONVOLUTION FOR SEMI-AUTOMATIC MUSIC TRANSCRIPTION
[{"from": "human", "value": "I am writing a research paper on a idea MULTI-TEMPLATE SHIFT-VARIANT NON-NEGATIVE MATRIX DECONVOLUTION FOR SEMI-AUTOMATIC MUSIC TRANSCRIPTION"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For the task of semi-automatic music transcription,  extended our framework for shift-variant non-negative matrix deconvolution (svNMD) to work with multiple templates per instrument and pitch. A k-means clustering based learning algorithm is proposed that infers the templates from the data based on the provided user information.  experimentally explored the maximum achievable transcription accuracy of the algorithm and evaluated the prospective performance in a realistic setting. The results shod a clear superiority of the Itakura-Saito divergence over the Kullback-Leibler divergence and a consistent improvement of the maximum achievable accuracy when each pitch is represented by more than one spectral template."}]