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| Título | Air traffic control speech recognition system cross-task & speaker adaptation |
| Tipo de publicación | Journal Article |
| Año de publicación | 2006 |
| Autores | Cordoba, R, Ferreiros, J, San-Segundo, R, Macias-Guarasa, J, Montero, JM, Fernandez, F, D'Haro, LF, Pardo, JM |
| Idioma de publicación | English |
| Revista académica | IEEE Aerospace and Electronic Systems Magazine |
| Volumen | 21 |
| Número | 9 |
| Páginas | 12-17 |
| Fecha de publicación | 09/2006 |
| Lugar de publicación | Estados Unidos |
| Editorial | IEEE |
| Rank in category | 14/24 |
| JCR Category | ENGINEERING, AEROSPACE |
| JCR Impact Factor | 0.423 |
| ISSN | 0885-8985 |
| DOI | 10.1109/MAES.2006.1705165 |
| Resumen | We present an overview of the most comon techniques used in automatic speech recognition to adapt a general system to a different environment (known as cross-task adaptation) such as in air traffic control systems (ATC). The conditions present in ATC are very specific: very spontaneous, the presence of noise, and high speech speech. So, with a typical speech recognizer, the recognition results are unsatisfactory. We have to decide on the best option for the modeling: to develop acoustic models specific to those conditions from scratch using the data available for the new envirnoment, or to carry out cross-task adaptation starting from reliable HMM models (usually requiring less data in the target domain). |
| Adjunto | Tamaño |
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| PublicadoDefinitivo-01705165.pdf | 352.7 KB |