Abstract
This paper describes a procedure to incorporate a rule-based network representation into automatic speech recognition systems. The network is used for representing acoustic-phonetic variations of spoken words. Rules for generating the networks are formulated in the framework of CVC-type units, and derived from a fine-labeled speech database. An automatic word recognition system is constructed to test the effectiveness of this method. The recognition results indicate that test samples are rarely mis-recognized when they are adequately labeled into acoustic-phonetic segment sequences and the network representation is substantially useful to satisfy this condition.
| Original language | English |
|---|---|
| Pages (from-to) | 56-62 |
| 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