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An Investigation of Automatic Phonetic-Unit Selection for Forensic Voice Comparison
| Content Provider | Semantic Scholar |
|---|---|
| Author | Huang, Chee Cheun Epps, Julien Zhang, Cuiling |
| Copyright Year | 2012 |
| Abstract | A hybrid Hidden Markov Model (HMM) - Gaussian Mixture Model (GMM) system was proposed to automatically select tokens of /iau/, /ai/, /ei/, /m/ and /n/ in a database of recordings of Standard-Chinese speech collected under studio-clean, mobile-landline degraded and mismatched recording conditions. The FVC systems constructed were all MFCC GMM-UBM systems, but based on different portions of the recordings. Fusion of an FVC system based on portions of the recordings within manual /iau/ markers with a baseline system based on all speech-active segments of the recordings resulted in a relatively large improvement in validity in all three conditions. Index Terms: forensic voice comparison, automatic phonetic unit selection, validity and reliability |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://assta.org/sst/SST-12/SST2012/PDF/AUTHOR/ST120014.PDF |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |