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- W2378675411 abstract "The functional paralanguages such as laughter,cries,and sighs get more and more attention in the field of emotion recognition.It is to be one of the important information as to identify the speaker emotion.While,automatic detection of functional paralanguage is the premise in the application and research.In response to this demand,according to the segmentation algorithm for audio,automatic detection of functional paralanguages algorithm based on fixed-length segments and algorithm based on distance and Bayesian are proposed.And a segment point confirmation combining with silence frame is proposed,and experiments are conducted to verify the algorithm.Through the experimental comparison of the two detection algorithms,the experimental results show that: the automatic detection algorithm based on fixed-length segments is better,and the detection rate is 70%,which is higher than detection algorithm based on distance and Bayesian by 5%." @default.
- W2378675411 created "2016-06-24" @default.
- W2378675411 creator A5020093817 @default.
- W2378675411 date "2015-01-01" @default.
- W2378675411 modified "2023-09-28" @default.
- W2378675411 title "Automatic Detection Algorithm of Functional Paralanguage in Speech" @default.
- W2378675411 hasPublicationYear "2015" @default.
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