Name
Abstract | ||
|---|---|---|
A number of experiments have shown that it is possible to use production models for speech recognition tasks [6] and [2], We present here the first results of an adaptation of Maeda's statistic model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker, Some preliminary results for the identification of V1-V2 sequences are also provided. |
Year | Venue | Keywords |
|---|---|---|
1996 | ICSLP 96 - FOURTH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, PROCEEDINGS, VOLS 1-4 | speech recognition,statistical model,automatic speech recognition,linear interpolation,speech production |
Field | DocType | Citations |
Pattern recognition,Statistic,Computer science,Speech recognition,Artificial intelligence,Acoustic model | Conference | 1 |
PageRank | References | Authors |
0.72 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laurence Candille | 1 | 2 | 1.17 |
| Henri Meloni | 2 | 12 | 6.02 |