Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Query-by-semantic-description (QBSD) is a natural way for searching/annotating music in a large database. To improve QBSD,  propose the use of anti-words for each annotation word based on the concept of supervised multiclass labeling (SML). More specifically, words that are highly associated with the opposite semantic meaning of a word constitute its anti-word set. By modeling both a word and its anti-word set, our annotation system can achieve 31.1% of equal mean per-word precision and recall, while the original SML model achieves 27.8%. Moreover, by constructing the models of the anti-word explicitly, the performance is also significantly improved for the retrieval system, especially when the query keyword is the antonym of an existing annotation word.
['Zhi-Sheng Chen', 'Jyh-Shing Roger Jang']
I am writing a research paper on a idea On the Use of Anti-Word Models for Audio Music Annotation and Retrieval
[{"from": "human", "value": "I am writing a research paper on a idea On the Use of Anti-Word Models for Audio Music Annotation and Retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Query-by-semantic-description (QBSD) is a natural way for searching/annotating music in a large database. To improve QBSD,  propose the use of anti-words for each annotation word based on the concept of supervised multiclass labeling (SML). More specifically, words that are highly associated with the opposite semantic meaning of a word constitute its anti-word set. By modeling both a word and its anti-word set, our annotation system can achieve 31.1% of equal mean per-word precision and recall, while the original SML model achieves 27.8%. Moreover, by constructing the models of the anti-word explicitly, the performance is also significantly improved for the retrieval system, especially when the query keyword is the antonym of an existing annotation word."}]