Emotional speech recognition using acoustic models of decomposed component words
This paper presents a novel approach for emotional speech recognition. Instead of using a full length of speech for classification, the proposed method decomposes speech signals into component words, groups the words into segments and generates an acoustic model for each segment by using features su...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Published: |
2015
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Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84899094356&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39035 |
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Institution: | Chiang Mai University |