Name
Title | ||
|---|---|---|
Speaker independent continuous speech recognition using an acoustic-phonetic Italian corpus |
Abstract | ||
|---|---|---|
The objective of this paper is to describe the activity that is being carried out at IRST laboratories for the development of an HMM-based speaker independent continuous speech recognition system for the Italian language. The recognition system is trained and tested using the acoustic-phonetic continuous speech portion of the APASCI corpus. Acoustic modeling is based on the use of Continuous Density HMMs with gaussian mixture observation densities. As a baseline, a set of 38 Context Independent ... |
Year | Venue | Field |
|---|---|---|
1994 | ICSLP | Pattern recognition,Computer science,Speech recognition,Speaker recognition,Artificial intelligence,Speaker diarisation,VoxForge |
DocType | Citations | PageRank |
Conference | 39 | 7.91 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bianca Angelini | 1 | 74 | 17.86 |
| Fabio Brugnara | 2 | 95 | 21.94 |
| Daniele Falavigna | 3 | 572 | 88.38 |
| Diego Giuliani | 4 | 333 | 46.24 |
| Roberto Gretter | 5 | 200 | 36.57 |
| Maurizio Omologo | 6 | 583 | 78.68 |