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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). |
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