Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A score-following algorithm for polyphonic MIDI performances is presented that can handle performance mistakes, ornaments, desynchronized voices, arbitrary repeats and skips. The algorithm is derived from a stochastic performance model based on hidden Markov model (HMM), and  review the recent development of model construction. , the model is further extended to capture the multi-voice structure, which is necessary to handle note reorderings by desynchronized voices and widely stretched ornaments in polyphony. For this,  propose mergedoutput HMM, which describes performed notes as merged outputs frommultiple HMMs, each corresponding toa voice part. It is confirmed that the model yields a score-following algorithm which is effective under frequent note reorderings across voices and complicated ornaments.
['Eita Nakamura', 'Nobutaka Ono', 'Yasuyuki Saito', 'Shigeki Sagayama']
I am writing a research paper on a idea Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips
[{"from": "human", "value": "I am writing a research paper on a idea Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A score-following algorithm for polyphonic MIDI performances is presented that can handle performance mistakes, ornaments, desynchronized voices, arbitrary repeats and skips. The algorithm is derived from a stochastic performance model based on hidden Markov model (HMM), and  review the recent development of model construction. , the model is further extended to capture the multi-voice structure, which is necessary to handle note reorderings by desynchronized voices and widely stretched ornaments in polyphony. For this,  propose mergedoutput HMM, which describes performed notes as merged outputs frommultiple HMMs, each corresponding toa voice part. It is confirmed that the model yields a score-following algorithm which is effective under frequent note reorderings across voices and complicated ornaments."}]