Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a probabilistic audio-to-audio alignment method that focuses on the relationship among the note durations of different performances of a piece of music. A key issue in probabilistic audio alignment methods is in expressing how interrelated are the durations of notes in the underlying piece of music. Existing studies focus either on the duration of adjacent notes within a recording (intra-recording duration model), or the duration of a given note across different recordings (inter-recording duration model).  unifies these approaches through a simple modification to them. Furthermore, the paper extends the unified model, allowing the dynamics of the note duration to change sporadically. Experimental evaluation demonstrated that the proposed models decrease the alignment error.
['Akira Maezawa', 'Katsutoshi Itoyama', 'Kazuyoshi Yoshii', 'Hiroshi G. Okuno']
I am writing a research paper on a idea Unified inter- and intra-recording duration model for multiple music audio alignment
[{"from": "human", "value": "I am writing a research paper on a idea Unified inter- and intra-recording duration model for multiple music audio alignment"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a probabilistic audio-to-audio alignment method that focuses on the relationship among the note durations of different performances of a piece of music. A key issue in probabilistic audio alignment methods is in expressing how interrelated are the durations of notes in the underlying piece of music. Existing studies focus either on the duration of adjacent notes within a recording (intra-recording duration model), or the duration of a given note across different recordings (inter-recording duration model).  unifies these approaches through a simple modification to them. Furthermore, the paper extends the unified model, allowing the dynamics of the note duration to change sporadically. Experimental evaluation demonstrated that the proposed models decrease the alignment error."}]