Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For music information retrieval tasks, a nearest neighbor classifier using the Kullback-Leibler divergence beten Gaussian mixture models of songs' melfrequency cepstral coefficients is commonly used to match songs by timbre. ,  analyze this distance measure analytically and experimentally by the use of synthesized MIDI files, and  find that it is highly sensitive to different instrument realizations. Despite the lack of theoretical foundation, it handles the multipitch case quite ll when all pitches originate from the same instrument, but it has some aknesses when different instruments play simultaneously. As a proof of concept,  demonstrate that a source separation frontend can improve performance. Furthermore,  have evaluated the robustness to changes in key, sample rate, and bitrate.
['Jesper Jensen', 'Mads Græsbøll Christensen', 'Daniel P. W. Ellis', 'S.H. Jensen']
I am writing a research paper on a idea Quantitative Analysis of a Common Audio Similarity Measure
[{"from": "human", "value": "I am writing a research paper on a idea Quantitative Analysis of a Common Audio Similarity Measure"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For music information retrieval tasks, a nearest neighbor classifier using the Kullback-Leibler divergence beten Gaussian mixture models of songs' melfrequency cepstral coefficients is commonly used to match songs by timbre. ,  analyze this distance measure analytically and experimentally by the use of synthesized MIDI files, and  find that it is highly sensitive to different instrument realizations. Despite the lack of theoretical foundation, it handles the multipitch case quite ll when all pitches originate from the same instrument, but it has some aknesses when different instruments play simultaneously. As a proof of concept,  demonstrate that a source separation frontend can improve performance. Furthermore,  have evaluated the robustness to changes in key, sample rate, and bitrate."}]