Development of acoustical feature based classifier using decision fusion technique for Malay language disfluencies classification
Speech disfluency such as filled pause (FP) is a hindrance in Automated Speech Recognition as it degrades the accuracy performance. Previous work of FP detection and classification have fused a number of acoustical features as fusion classification is known to improve classification results. This pa...
| Published in: | Indonesian Journal of Electrical Engineering and Computer Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037640106&doi=10.11591%2fijeecs.v8.i1.pp262-267&partnerID=40&md5=1c117f9895b4d1367b21b39264196866 |