Techniques for effective vocabulary selection
| dc.creator | Venkataraman, Anand | |
| dc.creator | Wang, Wen | |
| dc.date | 2003-06-04 | |
| dc.date.accessioned | 2026-07-07T03:19:46Z | |
| dc.date.available | 2026-07-07T03:19:46Z | |
| dc.description | The vocabulary of a continuous speech recognition (CSR) system is a significant factor in determining its performance. In this paper, we present three principled approaches to select the target vocabulary for a particular domain by trading off between the target out-of-vocabulary (OOV) rate and vocabulary size. We evaluate these approaches against an ad-hoc baseline strategy. Results are presented in the form of OOV rate graphs plotted against increasing vocabulary size for each technique. | |
| dc.description | 4 pages. To appear Proc. Eurospeech 2003, Geneva | |
| dc.identifier | https://arxiv.org/abs/cs/0306022 | |
| dc.identifier | http://arxiv.org/abs/cs/0306022 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31597 | |
| dc.subject | Computation and Language | |
| dc.subject | Artificial Intelligence | |
| dc.subject | I.2.6;I.2.7 | |
| dc.title | Techniques for effective vocabulary selection | |
| dc.type | text |