Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  examines the performance of automatically classifying five tone choices (i.e., falling, rising, rising-falling, falling-rising, and neutral) of Brazil's intonation model.  tested two machine learning classifiers (neural network and boosting ensemble) in two configurations (multi-class and pairwise coupling) and a rule-based classifier. Three sets of acoustic features built from the TILT and Bezier pitch contour models and a new four-point pitch contour model  introduced here re investigated. Tone choices are one of the key elements of Brazil's prosodic intonation model.  found the rule-based classifier, which was built on our four-point model, achieved better results than the others with an accuracy of 75.1 % and a Cohen's kappa coefficient of 0.73. This research proves that it is possible to classify tone choices with an accuracy reaching close to the percentage of agreement beten two human analysts. The findings further concluded that our four-point model was better for classifying Brazil's tone choices than both of the TILT or Bezier models.
['David O. Johnson', 'Okim Kang']
I am writing a research paper on a idea Automatic prosodic tone choice classification with Brazil's intonation model
[{"from": "human", "value": "I am writing a research paper on a idea Automatic prosodic tone choice classification with Brazil's intonation model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  examines the performance of automatically classifying five tone choices (i.e., falling, rising, rising-falling, falling-rising, and neutral) of Brazil's intonation model.  tested two machine learning classifiers (neural network and boosting ensemble) in two configurations (multi-class and pairwise coupling) and a rule-based classifier. Three sets of acoustic features built from the TILT and Bezier pitch contour models and a new four-point pitch contour model  introduced here re investigated. Tone choices are one of the key elements of Brazil's prosodic intonation model.  found the rule-based classifier, which was built on our four-point model, achieved better results than the others with an accuracy of 75.1 % and a Cohen's kappa coefficient of 0.73. This research proves that it is possible to classify tone choices with an accuracy reaching close to the percentage of agreement beten two human analysts. The findings further concluded that our four-point model was better for classifying Brazil's tone choices than both of the TILT or Bezier models."}]