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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shirai, K. Kobayashi, T. Yazawa, J. |
| Copyright Year | 1986 |
| Description | Author affiliation: Waseda University, Tokyo, Japan (Shirai, K.) |
| Abstract | Estimation of articulatory parameters by table look-up method and the phoneme recognition of unspecified speakers are described. Speech recognition using features in articulatory level is effective respecting adaptability to unspecified speakers and simplicity to compensate co-articulation. However, estimation of the parameter requires a lot of time. In the method, first the articulatory domain is quantized into finite centroids obtained by clustering technique and table search is carried out. It enabled shortening of estimation time but still maintain the same degree of preciseness obtained in the earlier method. Further, a recognition method considering compensation of co-articulation is examined. Phoneme recognition rate of 50 city names uttered by 8 speakers, 4 males and 4 females was 90.8%. |
| Starting Page | 2247 |
| Ending Page | 2250 |
| File Size | 139848 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/ICASSP.1986.1168554 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1986-04-07 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation Speech recognition Cities and towns Humans Search methods Testing Clustering methods Acoustic distortion Speech synthesis Frequency |
| Content Type | Text |
| Resource Type | Article |
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