Abstract
A word recognition system using network representation of acoustic phonetic segments is proposed and tested on a speaker-independent isolated word recognition task. The system has four major features, (1) context dependent segment modeling, (2) rule-based generation of networks of acoustic phonetic segments, (3) direct matching of input speech against networks and (4) usage of mel-cepstra and matrix representation of segments. Average error rates for the 10 male speakers were 0.6% for the 53 city names and 2.3% for the 220 words. They were 1/5 and 1/3 of those by the whole-word multiple template method, respectively. These results show the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | Denshi Gijutsu Sogo Kenkyusho Iho/Bulletin of the Electrotechnical Laboratory |
| Volume | 54 |
| Issue number | 7 |
| Publication status | Published - 1990 |
| Externally published | Yes |
ASJC Scopus subject areas
- Condensed Matter Physics
- Electrical and Electronic Engineering