Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tone recognition for fluent Mandarin speech has always been a very difficult problem, because the complicated tone behavior is difficult to analyze. , a new method of modeling tone variation for fluent Mandarin tone recognition by clustering training data into few subsets and ighting the likelihood computed by inter-syllabic features (Lin et al. (2003)) is proposed. Experimental results indicate that the tone recognition accuracy can be improved significantly by this method and one modification of the method is robust and has less computation. Our tone variation modeling method is shown to improve the recognition rate from 91.3% to 95.2%.
['Wan-yi Lin']
I am writing a research paper on a idea Tone variation modeling for fluent Mandarin tone recognition based on clustering
[{"from": "human", "value": "I am writing a research paper on a idea Tone variation modeling for fluent Mandarin tone recognition based on clustering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tone recognition for fluent Mandarin speech has always been a very difficult problem, because the complicated tone behavior is difficult to analyze. , a new method of modeling tone variation for fluent Mandarin tone recognition by clustering training data into few subsets and ighting the likelihood computed by inter-syllabic features (Lin et al. (2003)) is proposed. Experimental results indicate that the tone recognition accuracy can be improved significantly by this method and one modification of the method is robust and has less computation. Our tone variation modeling method is shown to improve the recognition rate from 91.3% to 95.2%."}]